Journey into SPH Simulation: A Comprehensive Framework and Showcase
arxiv(2024)
摘要
This report presents the development and results of an advanced SPH (Smoothed
Particle Hydrodynamics) simulation framework, designed for high fidelity fluid
dynamics modeling. Our framework, accessible at
https://github.com/jason-huang03/SPH_Project, integrates various SPH algorithms
including WCSPH, PCISPH, and DFSPH, alongside techniques for rigid-fluid
coupling and high viscosity fluid simulations. Leveraging the computational
power of CUDA and the versatility of Taichi, the framework excels in handling
large-scale simulations with millions of particles. We demonstrate the
capability of our framework through a series of simulations showcasing
rigid-fluid coupling, high viscosity fluids, and large-scale fluid dynamics.
Furthermore, a detailed performance analysis reveals CUDA's superior efficiency
across different hardware platforms. This work is an exploraion into modern SPH
simulation techniques, showcasing their practical implementation and
capabilities.
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