{"group":{"id":1,"name":"Community","lockable":false,"created_at":"2012-01-18T18:02:15.000Z","updated_at":"2025-12-14T01:33:56.000Z","description":"Problems submitted by members of the MATLAB Central community.","is_default":true,"created_by":161519,"badge_id":null,"featured":false,"trending":false,"solution_count_in_trending_period":0,"trending_last_calculated":"2025-12-14T00:00:00.000Z","image_id":null,"published":true,"community_created":false,"status_id":2,"is_default_group_for_player":false,"deleted_by":null,"deleted_at":null,"restored_by":null,"restored_at":null,"description_opc":null,"description_html":null,"published_at":null},"problems":[{"id":59094,"title":"Find mass of single floor in building","description":"A model building has three floors are highlighted in different colours here:\r\n                                            \r\nAssume the floor is made of steel, and so has a density of .\r\nWrite a function to find the mass m of a single floor of the model building in kg. It should take input measurements of floor height h, width w and depth d in m, found in the Technical Drawings below. We are modelling the system as a lumped mass model, so find the mass of a single floor. Do not calculate the mass of the beams or clamps.\r\n\r\n\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1314.11px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 657.047px; transform-origin: 407px 657.055px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eA model building has three floors are highlighted in different colours here:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 203px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 101.5px; text-align: left; transform-origin: 384px 101.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e                                            \u003c/span\u003e\u003c/span\u003e\u003cimg class=\"imageNode\" width=\"100\" height=\"197\" style=\"vertical-align: baseline;width: 100px;height: 197px\" src=\"https://lcms-files.mathworks.com/content/images/97aecfaf-229d-4af1-96d6-64dd19b9beb0.png\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eAssume the floor is made of steel, and so has a density of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"69.5\" height=\"19\" style=\"width: 69.5px; height: 19px;\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function to find the \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003emass \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003em\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ea single floor\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e of the model building in \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ekg\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. It should take input measurements of floor height \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003eh\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, width \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003ew\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and depth \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003ed in m\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, found in the Technical Drawings below. We are modelling the system as a lumped mass model, so find the mass of a single floor. Do not calculate the mass of the beams or clamps.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 463.844px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 231.922px; text-align: left; transform-origin: 384px 231.922px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline\" 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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function m = findmass(h,w,d)\r\n  m = h;\r\nend","test_suite":"%%\r\n% Define measurements of single floor: \r\nh = 0.0095   % height (m)\r\nw = 0.3      % width (m)\r\nd = 0.15     % depth (m)\r\n\r\napprx = 3.3559;\r\nguess = findmass(h,w,d);\r\n\r\ncheck = abs(apprx-guess) \u003c 10e-4\r\n\r\nassert(isequal(check,true))\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":99522,"edited_by":99522,"edited_at":"2023-10-12T14:13:03.000Z","deleted_by":null,"deleted_at":null,"solvers_count":16,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2023-10-12T14:12:41.000Z","updated_at":"2025-05-07T11:19:21.000Z","published_at":"2023-10-12T14:13:03.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA model building has three floors are highlighted in different colours here:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e                                            \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"197\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"100\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAssume the floor is made of steel, and so has a density of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e7850 kgm^{-3}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function to find the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003emass \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003em\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ea single floor\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e of the model building in \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ekg\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. It should take input measurements of floor height \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eh\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, width \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ew\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and depth \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ed in m\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, found in the Technical Drawings below. We are modelling the system as a lumped mass model, so find the mass of a single floor. Do not calculate the mass of the beams or clamps.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"775\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"1300\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId2\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"776\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" 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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":45209,"title":"An Ohm's Law Calculator","description":"*BACKGROUND / MOTIVATION:*\r\n\r\nMany important observations in math and science can be described by short, but powerful, equations:\r\n \r\n * The Pythagorean Theorem (c^2 = a^2 + b^2)\r\n * Newton's Second Law of Motion (F = ma)\r\n * Einstein's Mass-Energy Equivalence (E = mc^2)\r\n\r\nFor electrical circuits, one of the most useful and important equations is:\r\n\r\n * Ohm's Law (V = IR)\r\n\r\nOhm's Law describes the relationship between voltage (V), current (I), and resistance (R) in electrical circuits.\r\n\r\nFor more information, check out: \u003chttps://www.build-electronic-circuits.com/ohms-law/\u003e\r\n\r\n*PROBLEM DESCRIPTION:*\r\n\r\nGiven the current (I) through a resistor with resistance (R), create a function that will return the voltage (V) across the resistor.\r\n","description_html":"\u003cp\u003e\u003cb\u003eBACKGROUND / MOTIVATION:\u003c/b\u003e\u003c/p\u003e\u003cp\u003eMany important observations in math and science can be described by short, but powerful, equations:\u003c/p\u003e\u003cpre\u003e * The Pythagorean Theorem (c^2 = a^2 + b^2)\r\n * Newton's Second Law of Motion (F = ma)\r\n * Einstein's Mass-Energy Equivalence (E = mc^2)\u003c/pre\u003e\u003cp\u003eFor electrical circuits, one of the most useful and important equations is:\u003c/p\u003e\u003cpre\u003e * Ohm's Law (V = IR)\u003c/pre\u003e\u003cp\u003eOhm's Law describes the relationship between voltage (V), current (I), and resistance (R) in electrical circuits.\u003c/p\u003e\u003cp\u003eFor more information, check out: \u003ca href = \"https://www.build-electronic-circuits.com/ohms-law/\"\u003ehttps://www.build-electronic-circuits.com/ohms-law/\u003c/a\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003ePROBLEM DESCRIPTION:\u003c/b\u003e\u003c/p\u003e\u003cp\u003eGiven the current (I) through a resistor with resistance (R), create a function that will return the voltage (V) across the resistor.\u003c/p\u003e","function_template":"function V = OhmsLaw(I,R)\r\n  V = 0; % modify this equation to use Ohm's Law\r\nend","test_suite":"%%\r\nI = 0.09; %90mA current\r\nR = 100; %100 Ohm resistor\r\nV_correct = 9; %9V voltage\r\nassert(isequal(OhmsLaw(I,R),V_correct))\r\n\r\n%%\r\nI = 0.012; %12mA current\r\nR = 1000; %1kOhm resistor\r\nV_correct = 12; %12V voltage\r\nassert(isequal(OhmsLaw(I,R),V_correct))","published":true,"deleted":false,"likes_count":12,"comments_count":1,"created_by":377536,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":1860,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2019-11-20T14:14:50.000Z","updated_at":"2026-04-03T03:29:27.000Z","published_at":"2019-11-21T02:54:28.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eBACKGROUND / MOTIVATION:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eMany important observations in math and science can be described by short, but powerful, equations:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[ * The Pythagorean Theorem (c^2 = a^2 + b^2)\\n * Newton's Second Law of Motion (F = ma)\\n * Einstein's Mass-Energy Equivalence (E = mc^2)]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor electrical circuits, one of the most useful and important equations is:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[ * Ohm's Law (V = IR)]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eOhm's Law describes the relationship between voltage (V), current (I), and resistance (R) in electrical circuits.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor more information, check out:\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"https://www.build-electronic-circuits.com/ohms-law/\\\"\u003e\u003cw:r\u003e\u003cw:t\u003e\u0026lt;https://www.build-electronic-circuits.com/ohms-law/\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e\u0026gt;\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ePROBLEM DESCRIPTION:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven the current (I) through a resistor with resistance (R), create a function that will return the voltage (V) across the resistor.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":59099,"title":"Find stiffness of all beams for single floor in building","description":"Create a function that finds this stiffness k of all the beams (also known as 'stanchions') for one floor of a three storey building. The three floors are colour coded here\r\n   \r\nA force is applied to the bottom mass to model ground excitation. This causes movement in the other floors. Here the movement of the base has been eliminated in the animation. \r\n\r\nIn order to calculate the overall stiffness k you will need to:\r\nModel a single spring by finding the stiffness  of a single, doubly built in cantilever using  where is Young's Modulus and  is the second moment of area \r\nCombine the springs into one value of k\r\n\r\nYou need to:\r\nFind the beam length for ONE floor L , width b and thickness h in m using the technical drawings in this question. \r\nAssume the beam is made of steel, and has a Young's modulus of .\r\nHow many beams are there per floor and are they in series or parallel?\r\nEnsure the final stiffness is assigned to a variable called k","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 877.625px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 438.812px; transform-origin: 407px 438.812px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eCreate a function that finds this \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003estiffness\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003e k\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e of all the beams (also known as 'stanchions') for\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e one floor \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eof a three storey building. The three floors are colour coded here\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 282px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 141px; text-align: left; transform-origin: 384px 141px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"178\" height=\"276\" style=\"vertical-align: baseline;width: 178px;height: 276px\" src=\"https://lcms-files.mathworks.com/content/images/cf12669d-da95-43ca-b62a-0d7100391f03.png\" data-image-state=\"image-loaded\"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e   \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eA force is applied to the bottom mass to model ground excitation. This causes movement in the other floors. Here the movement of the base has been eliminated in the animation. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 205px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 102.5px; text-align: left; transform-origin: 384px 102.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"100\" height=\"199\" style=\"vertical-align: baseline;width: 100px;height: 199px\" src=\"https://lcms-files.mathworks.com/content/images/23d3e2d9-d871-40b8-99f6-abec5a230fc1.gif\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eIn order to calculate the overall stiffness \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ek\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e you will need to:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003col style=\"block-size: 76.875px; font-family: Helvetica, Arial, sans-serif; list-style-type: decimal; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 38.4375px; transform-origin: 391px 38.4375px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 56.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 28.2188px; text-align: left; transform-origin: 363px 28.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eModel a single spring by finding the stiffness \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-6px\"\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"14.5\" height=\"20\" alt=\"K subscript zero\" style=\"width: 14.5px; height: 20px;\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e of a single, doubly built in cantilever using \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-16px\"\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"64\" height=\"36\" style=\"width: 64px; height: 36px;\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e where \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"font-family: STIXGeneral, STIXGeneral-webfont, serif; font-style: italic; font-weight: 400; color: rgb(0, 0, 0);\"\u003eE\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eis Young's Modulus and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"font-family: STIXGeneral, STIXGeneral-webfont, serif; font-style: italic; font-weight: 400; color: rgb(0, 0, 0);\"\u003eI\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e is the second moment of area \u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2188px; text-align: left; transform-origin: 363px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eCombine the springs into one value of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ek\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eYou need to:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 81.75px; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 40.875px; transform-origin: 391px 40.875px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"background-position: 0px 50%; block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2188px; text-align: left; transform-origin: 363px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eFind the beam length for ONE floor \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003eL \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e, width \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003eb\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e and thickness \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003eh in m \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eusing the technical drawings \u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"https://www.mathworks.com/matlabcentral/cody/problems/59094-find-mass-of-single-floor-in-building\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"font-style: italic; \"\u003ein this question\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e. \u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position: 0px 50%; block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2188px; text-align: left; transform-origin: 363px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eAssume the beam is made of steel, and has a Young's modulus of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"96.5\" height=\"19\" style=\"width: 96.5px; height: 19px;\"\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position: 0px 50%; block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2188px; text-align: left; transform-origin: 363px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eHow many beams are there per floor and are they in series or parallel?\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position: 0px 50%; block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2188px; text-align: left; transform-origin: 363px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eEnsure the\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003e final stiffness\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e is assigned to a variable called \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003ek\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function k = findstiffness(L,b,h)\r\n  k = L;\r\nend","test_suite":"% Define constants\r\nL =  0.3005;        % length of cantilever (m)\r\nb = 0.0254;        % length of side parrallel to reference axis (m)\r\nh = 0.0016;        % height of the section (m)\r\n\r\nk_correct = 3.220620267472354e+03;\r\nguess = findstiffness(L,b,h)\r\n\r\ncheck = abs(k_correct-guess) \u003c 10e-4\r\n\r\nassert(isequal(check,true))\r\n\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":99522,"edited_by":99522,"edited_at":"2023-10-12T14:23:25.000Z","deleted_by":null,"deleted_at":null,"solvers_count":5,"test_suite_updated_at":"2023-10-12T14:23:25.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2023-10-12T14:19:11.000Z","updated_at":"2023-10-12T14:23:25.000Z","published_at":"2023-10-12T14:23:25.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCreate a function that finds this \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003estiffness\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e k\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e of all the beams (also known as 'stanchions') for\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e one floor \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003eof a three storey building. The three floors are colour coded here\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"276\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"178\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e   \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA force is applied to the bottom mass to model ground excitation. This causes movement in the other floors. Here the movement of the base has been eliminated in the animation. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"199\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"100\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId2\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn order to calculate the overall stiffness \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ek\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e you will need to:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eModel a single spring by finding the stiffness \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003cw:attr w:name=\\\"altTextString\\\" w:val=\\\"K subscript zero\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003ek_0\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e of a single, doubly built in cantilever using \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003ek_0 = \\\\frac{12EI}{L^3}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e where \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003cw:attr w:name=\\\"altTextString\\\" w:val=\\\"E\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003eE\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003eis Young's Modulus and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003eI\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e is the second moment of area \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCombine the springs into one value of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ek\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eYou need to:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eFind the beam length for ONE floor \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eL \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e, width \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eb\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e and thickness \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eh in m \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eusing the technical drawings \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"https://www.mathworks.com/matlabcentral/cody/problems/59094-find-mass-of-single-floor-in-building\\\"\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ein this question\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eAssume the beam is made of steel, and has a Young's modulus of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e210\\\\times10^9 Nm^{-2}\\n\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eHow many beams are there per floor and are they in series or parallel?\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eEnsure the\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e final stiffness\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e is assigned to a variable called \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ek\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.gif\",\"relationshipId\":\"rId2\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"https://lcms-files.mathworks.com/content/images/cf12669d-da95-43ca-b62a-0d7100391f03.png\",\"relationship\":null},{\"partUri\":\"/media/image1.gif\",\"contentType\":\"image/gif\",\"content\":\"https://lcms-files.mathworks.com/content/images/23d3e2d9-d871-40b8-99f6-abec5a230fc1.gif\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"}],"problem_search":{"errors":[],"problems":[{"id":59094,"title":"Find mass of single floor in building","description":"A model building has three floors are highlighted in different colours here:\r\n                                            \r\nAssume the floor is made of steel, and so has a density of .\r\nWrite a function to find the mass m of a single floor of the model building in kg. It should take input measurements of floor height h, width w and depth d in m, found in the Technical Drawings below. We are modelling the system as a lumped mass model, so find the mass of a single floor. Do not calculate the mass of the beams or clamps.\r\n\r\n\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1314.11px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 657.047px; transform-origin: 407px 657.055px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eA model building has three floors are highlighted in different colours here:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 203px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 101.5px; text-align: left; transform-origin: 384px 101.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e                                            \u003c/span\u003e\u003c/span\u003e\u003cimg class=\"imageNode\" width=\"100\" height=\"197\" style=\"vertical-align: baseline;width: 100px;height: 197px\" src=\"https://lcms-files.mathworks.com/content/images/97aecfaf-229d-4af1-96d6-64dd19b9beb0.png\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eAssume the floor is made of steel, and so has a density of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"69.5\" height=\"19\" style=\"width: 69.5px; height: 19px;\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function to find the \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003emass \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003em\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ea single floor\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e of the model building in \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ekg\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e. It should take input measurements of floor height \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003eh\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, width \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003ew\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e and depth \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003ed in m\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e, found in the Technical Drawings below. We are modelling the system as a lumped mass model, so find the mass of a single floor. Do not calculate the mass of the beams or clamps.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 463.844px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 231.922px; text-align: left; transform-origin: 384px 231.922px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline\" 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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function m = findmass(h,w,d)\r\n  m = h;\r\nend","test_suite":"%%\r\n% Define measurements of single floor: \r\nh = 0.0095   % height (m)\r\nw = 0.3      % width (m)\r\nd = 0.15     % depth (m)\r\n\r\napprx = 3.3559;\r\nguess = findmass(h,w,d);\r\n\r\ncheck = abs(apprx-guess) \u003c 10e-4\r\n\r\nassert(isequal(check,true))\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":99522,"edited_by":99522,"edited_at":"2023-10-12T14:13:03.000Z","deleted_by":null,"deleted_at":null,"solvers_count":16,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2023-10-12T14:12:41.000Z","updated_at":"2025-05-07T11:19:21.000Z","published_at":"2023-10-12T14:13:03.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA model building has three floors are highlighted in different colours here:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e                                            \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"197\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"100\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAssume the floor is made of steel, and so has a density of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e7850 kgm^{-3}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function to find the \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003emass \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003em\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ea single floor\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e of the model building in \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ekg\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. It should take input measurements of floor height \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eh\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, width \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ew\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and depth \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ed in m\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, found in the Technical Drawings below. We are modelling the system as a lumped mass model, so find the mass of a single floor. Do not calculate the mass of the beams or clamps.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"775\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"1300\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId2\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"776\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" 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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":45209,"title":"An Ohm's Law Calculator","description":"*BACKGROUND / MOTIVATION:*\r\n\r\nMany important observations in math and science can be described by short, but powerful, equations:\r\n \r\n * The Pythagorean Theorem (c^2 = a^2 + b^2)\r\n * Newton's Second Law of Motion (F = ma)\r\n * Einstein's Mass-Energy Equivalence (E = mc^2)\r\n\r\nFor electrical circuits, one of the most useful and important equations is:\r\n\r\n * Ohm's Law (V = IR)\r\n\r\nOhm's Law describes the relationship between voltage (V), current (I), and resistance (R) in electrical circuits.\r\n\r\nFor more information, check out: \u003chttps://www.build-electronic-circuits.com/ohms-law/\u003e\r\n\r\n*PROBLEM DESCRIPTION:*\r\n\r\nGiven the current (I) through a resistor with resistance (R), create a function that will return the voltage (V) across the resistor.\r\n","description_html":"\u003cp\u003e\u003cb\u003eBACKGROUND / MOTIVATION:\u003c/b\u003e\u003c/p\u003e\u003cp\u003eMany important observations in math and science can be described by short, but powerful, equations:\u003c/p\u003e\u003cpre\u003e * The Pythagorean Theorem (c^2 = a^2 + b^2)\r\n * Newton's Second Law of Motion (F = ma)\r\n * Einstein's Mass-Energy Equivalence (E = mc^2)\u003c/pre\u003e\u003cp\u003eFor electrical circuits, one of the most useful and important equations is:\u003c/p\u003e\u003cpre\u003e * Ohm's Law (V = IR)\u003c/pre\u003e\u003cp\u003eOhm's Law describes the relationship between voltage (V), current (I), and resistance (R) in electrical circuits.\u003c/p\u003e\u003cp\u003eFor more information, check out: \u003ca href = \"https://www.build-electronic-circuits.com/ohms-law/\"\u003ehttps://www.build-electronic-circuits.com/ohms-law/\u003c/a\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003ePROBLEM DESCRIPTION:\u003c/b\u003e\u003c/p\u003e\u003cp\u003eGiven the current (I) through a resistor with resistance (R), create a function that will return the voltage (V) across the resistor.\u003c/p\u003e","function_template":"function V = OhmsLaw(I,R)\r\n  V = 0; % modify this equation to use Ohm's Law\r\nend","test_suite":"%%\r\nI = 0.09; %90mA current\r\nR = 100; %100 Ohm resistor\r\nV_correct = 9; %9V voltage\r\nassert(isequal(OhmsLaw(I,R),V_correct))\r\n\r\n%%\r\nI = 0.012; %12mA current\r\nR = 1000; %1kOhm resistor\r\nV_correct = 12; %12V voltage\r\nassert(isequal(OhmsLaw(I,R),V_correct))","published":true,"deleted":false,"likes_count":12,"comments_count":1,"created_by":377536,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":1860,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2019-11-20T14:14:50.000Z","updated_at":"2026-04-03T03:29:27.000Z","published_at":"2019-11-21T02:54:28.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eBACKGROUND / MOTIVATION:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eMany important observations in math and science can be described by short, but powerful, equations:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[ * The Pythagorean Theorem (c^2 = a^2 + b^2)\\n * Newton's Second Law of Motion (F = ma)\\n * Einstein's Mass-Energy Equivalence (E = mc^2)]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor electrical circuits, one of the most useful and important equations is:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[ * Ohm's Law (V = IR)]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eOhm's Law describes the relationship between voltage (V), current (I), and resistance (R) in electrical circuits.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor more information, check out:\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"https://www.build-electronic-circuits.com/ohms-law/\\\"\u003e\u003cw:r\u003e\u003cw:t\u003e\u0026lt;https://www.build-electronic-circuits.com/ohms-law/\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e\u0026gt;\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ePROBLEM DESCRIPTION:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven the current (I) through a resistor with resistance (R), create a function that will return the voltage (V) across the resistor.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":59099,"title":"Find stiffness of all beams for single floor in building","description":"Create a function that finds this stiffness k of all the beams (also known as 'stanchions') for one floor of a three storey building. The three floors are colour coded here\r\n   \r\nA force is applied to the bottom mass to model ground excitation. This causes movement in the other floors. Here the movement of the base has been eliminated in the animation. \r\n\r\nIn order to calculate the overall stiffness k you will need to:\r\nModel a single spring by finding the stiffness  of a single, doubly built in cantilever using  where is Young's Modulus and  is the second moment of area \r\nCombine the springs into one value of k\r\n\r\nYou need to:\r\nFind the beam length for ONE floor L , width b and thickness h in m using the technical drawings in this question. \r\nAssume the beam is made of steel, and has a Young's modulus of .\r\nHow many beams are there per floor and are they in series or parallel?\r\nEnsure the final stiffness is assigned to a variable called k","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 877.625px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 438.812px; transform-origin: 407px 438.812px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eCreate a function that finds this \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003estiffness\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003e k\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e of all the beams (also known as 'stanchions') for\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e one floor \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eof a three storey building. The three floors are colour coded here\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 282px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 141px; text-align: left; transform-origin: 384px 141px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"178\" height=\"276\" style=\"vertical-align: baseline;width: 178px;height: 276px\" src=\"https://lcms-files.mathworks.com/content/images/cf12669d-da95-43ca-b62a-0d7100391f03.png\" data-image-state=\"image-loaded\"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e   \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eA force is applied to the bottom mass to model ground excitation. This causes movement in the other floors. Here the movement of the base has been eliminated in the animation. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 205px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 102.5px; text-align: left; transform-origin: 384px 102.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"100\" height=\"199\" style=\"vertical-align: baseline;width: 100px;height: 199px\" src=\"https://lcms-files.mathworks.com/content/images/23d3e2d9-d871-40b8-99f6-abec5a230fc1.gif\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eIn order to calculate the overall stiffness \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ek\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e you will need to:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003col style=\"block-size: 76.875px; font-family: Helvetica, Arial, sans-serif; list-style-type: decimal; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 38.4375px; transform-origin: 391px 38.4375px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 56.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 28.2188px; text-align: left; transform-origin: 363px 28.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eModel a single spring by finding the stiffness \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-6px\"\u003e\u003cimg src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAB0AAAAoCAYAAAACJPERAAAAAXNSR0IArs4c6QAAAsBJREFUWEft1k2o1GUUx/HPLU0yJdKNFGqCWELkRlwolEEaEkqimFYKoaHgqhSxolUKLjQpjAoUBfMty3wJonSRgi0CCyTJ0I2IGiSJiIhiKudy/pe/08ydl3unu7kDwwwzz/98n/N7zvmdp0MfvDr6gKkf2lbV++Uty/sAhmMc/sTlnmpfS96BeAsv5nsofsZrONcuaBF3MD7GEmzHclxrN/SxhL2Md7Cxp8B4vl71Po2v8CRm4Pj/AZ2FA/gJr+Niu6EP4kO8iy/wNm60G1o+z2UJ7g1mt2f6LL7GEMzECcRvIXN8Rv/+lmtONaNCd4UUwb/EkezPvzPNMdiCz/AN7jSbfi3oQ1iX5xhtshq3MAwrEvZrs7BifS3o49iBqXgjv4/AUmzrqSvVgk7B9/gLc/FvSrwB/7SaYb1MI6PP8QMOYhU+SUe6WwM6IDc4H7/jGezOQrtdfqZapg9n8ACXX1FQi3CpCjSAcdaz8Sb+wHhszfP/KNXqfLQadDR2YjLew0nsQkyaOdhXBToJ+7G+pEbEfj+PJbKPODWh0/AjzqRc57NFIotvsRhXSuAieLjX8zhW+q+IFSpEF3QeTWWm5QBhDDHSriZoc461KKzYVNjkCziLTRiFeThdghYDI4Z/Ees/0JDwUyzEB1ibu3siR1xA9mbrjEwlYs5GGz2CV/N2UXCfwh5cL18AKjMtFk3AdBwuHcOCrOjY2HfpRCvTDiNwSF45iYr6uG9DldBilFW7mkSFxhVmTXputFG4UrHRatDCZGJ4dKlQb4g34gNVs8kHG5K3EUjlmkcRRRaAlgqpFWh3LfMcjlYUZd07UqObmJh2V7bK2EzcNqLYXsEv9by3UVixrrDBl7LdLmBsttIhxKDo8t/eKKQCPChbJjqgMPwYFjEib9Yz/GazbHp9b2baMLwf2rBUrSzsE3nvAc3znCnV2tsaAAAAAElFTkSuQmCC\" width=\"14.5\" height=\"20\" alt=\"K subscript zero\" style=\"width: 14.5px; height: 20px;\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e of a single, doubly built in cantilever using \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-16px\"\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"64\" height=\"36\" style=\"width: 64px; height: 36px;\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e where \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"font-family: STIXGeneral, STIXGeneral-webfont, serif; font-style: italic; font-weight: 400; color: rgb(0, 0, 0);\"\u003eE\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eis Young's Modulus and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"font-family: STIXGeneral, STIXGeneral-webfont, serif; font-style: italic; font-weight: 400; color: rgb(0, 0, 0);\"\u003eI\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e is the second moment of area \u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2188px; text-align: left; transform-origin: 363px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eCombine the springs into one value of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ek\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eYou need to:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 81.75px; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 40.875px; transform-origin: 391px 40.875px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"background-position: 0px 50%; block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2188px; text-align: left; transform-origin: 363px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eFind the beam length for ONE floor \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003eL \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e, width \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003eb\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e and thickness \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003eh in m \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eusing the technical drawings \u003c/span\u003e\u003c/span\u003e\u003ca target='_blank' href = \"https://www.mathworks.com/matlabcentral/cody/problems/59094-find-mass-of-single-floor-in-building\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"font-style: italic; \"\u003ein this question\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e. \u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position: 0px 50%; block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2188px; text-align: left; transform-origin: 363px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eAssume the beam is made of steel, and has a Young's modulus of \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"96.5\" height=\"19\" style=\"width: 96.5px; height: 19px;\"\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position: 0px 50%; block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2188px; text-align: left; transform-origin: 363px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eHow many beams are there per floor and are they in series or parallel?\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"background-position: 0px 50%; block-size: 20.4375px; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.2188px; text-align: left; transform-origin: 363px 10.2188px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eEnsure the\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003e final stiffness\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; \"\u003e is assigned to a variable called \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-position: 0% 0%; block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-style: italic; font-weight: 700; \"\u003ek\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function k = findstiffness(L,b,h)\r\n  k = L;\r\nend","test_suite":"% Define constants\r\nL =  0.3005;        % length of cantilever (m)\r\nb = 0.0254;        % length of side parrallel to reference axis (m)\r\nh = 0.0016;        % height of the section (m)\r\n\r\nk_correct = 3.220620267472354e+03;\r\nguess = findstiffness(L,b,h)\r\n\r\ncheck = abs(k_correct-guess) \u003c 10e-4\r\n\r\nassert(isequal(check,true))\r\n\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":99522,"edited_by":99522,"edited_at":"2023-10-12T14:23:25.000Z","deleted_by":null,"deleted_at":null,"solvers_count":5,"test_suite_updated_at":"2023-10-12T14:23:25.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2023-10-12T14:19:11.000Z","updated_at":"2023-10-12T14:23:25.000Z","published_at":"2023-10-12T14:23:25.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCreate a function that finds this \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003estiffness\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e k\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e of all the beams (also known as 'stanchions') for\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e one floor \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003eof a three storey building. The three floors are colour coded here\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"276\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"178\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e   \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA force is applied to the bottom mass to model ground excitation. This causes movement in the other floors. Here the movement of the base has been eliminated in the animation. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"199\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"100\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId2\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIn order to calculate the overall stiffness \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ek\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e you will need to:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eModel a single spring by finding the stiffness \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003cw:attr w:name=\\\"altTextString\\\" w:val=\\\"K subscript zero\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003ek_0\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e of a single, doubly built in cantilever using \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003ek_0 = \\\\frac{12EI}{L^3}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e where \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003cw:attr w:name=\\\"altTextString\\\" w:val=\\\"E\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003eE\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003eis Young's Modulus and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003eI\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e is the second moment of area \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"2\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eCombine the springs into one value of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ek\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle 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\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eb\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e and thickness \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eh in m \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eusing the technical drawings \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"https://www.mathworks.com/matlabcentral/cody/problems/59094-find-mass-of-single-floor-in-building\\\"\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ein this question\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e. 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