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Smoothed particle hydrodynamics

version 1.0 (6.94 MB) by Auralius Manurung
An implementation of the smoothed particle hydrodynamics based on the Philip Mocz's paper

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Updated 23 Jul 2021

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smoothed-particle-hydrodynamics

A MATLAB implementation of the smoothed particle hydrodynamics based on the Philip Mocz's paper, in both CPU and GPU.

By using a GPU, we can speed up the computation to about 10 times. Here, I am using the NVidia Tesla K20m. It is probably the cheapest Tesla card in second-hand markets. ;-) A normal GPU also works.

Please read Philip Mocz's paper here:
https://pmocz.github.io/manuscripts/pmocz_sph.pdf

Although the paper stated MATLAB implementation, I can only find the Python implementation in his Github repository:
https://github.com/pmocz/sph-python

These are some examples in this repository:

Example 1:
Free-falling Universitas Pertamina's logo
alt text

Example 2:
Free-falling particles arranged in a grid formation
alt text

Example 3:
More free-falling particles also arranged in a grid formation ;-)
alt text

Example 4:
Waaayy more free-falling particles also arranged in a grid formation ;-) ;-)
alt text

Additional notes:

SPHDemo2D_Ex2_NeighbourSearch_CPU.m uses a very simple neighbour search mechanism to reduce the execution time. We first sort all nodes based on their distances to the origin. Hence, the adjacent nodes are neighbours.

Contact:
manurunga@yadex.com

Cite As

Auralius Manurung (2021). Smoothed particle hydrodynamics (https://github.com/auralius/smoothed-particle-hydrodynamics/releases/tag/1.0), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.