Journey into SPH Simulation: A Comprehensive Framework and Showcase

March 17, 2024 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Haofeng Huang, Li Yi arXiv ID 2403.11156 Category physics.flu-dyn Cross-listed cs.GR Citations 1 Venue arXiv.org Repository https://github.com/jason-huang03/SPH_Project Last Checked 1 month ago
Abstract
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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