A fluid simulation system based on the MPS method

doi:10.1016/j.cpc.2020.107572

2021-01-01

André Luiz Buarque Vieira-e-Silva *

Caio Brito

Francisco Simões

Verônica Teichrieb

DOI：10.1016/j.cpc.2020.107572

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摘要

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Fluid flow simulation is a highly active area with applications in a wide range of engineering problems and interactive systems. Meshless methods like the Moving Particle Semi-implicit (MPS) are a great alternative to deal efficiently with large deformations and free-surface flow. However, mesh-based approaches can achieve higher numerical precision than particle-based techniques with a performance cost. This paper presents a numerically stable and parallelized system that benefits from advances in the literature and parallel computing to obtain an adaptable MPS method. The proposed technique can simulate liquids using different approaches, such as two ways to calculate the particles' pressure, turbulent flow, and multiphase interaction. The method is evaluated under traditional tests cases presenting comparable results to recent techniques. This work integrates the previously mentioned advances into a single solution, which can switch on improvements, such as better momentum conservation and less spurious pressure oscillations, through a graphical interface. The code is entirely open-source under the GPLv3 free software license. The GPU-accelerated code reached speedups ranging from 3 to 43 times, depending on the total number of particles. The simulation runs at one fps for a case with approximately 200,000 particles. Program summary Program Title: Voxar MPS CPC Library link to program files: http://dx.doi.org/10.17632/49f6djvhjk.1 Licensing provisions: GNU General Public License version 3 Programming language: C++ and CUDA Nature of problem: The Voxar MPS code has been developed to study the flow of incompressible fluids that requires high computational cost. Solution method: Voxar MPS is an implementation of the Moving Particle Semi-implicit, a Lagrangian meshless particle method for incompressible fluids. (C) 2020 Elsevier B.V. All rights reserved.

Keyword:

MPS

Framework

Numerical improvements

Fluid models

Parallelization