2024/03/17 by H. Huang, Yi Li, Huang, Haofeng +1
Engineering · Environmental Science · #Bacteriophages and microbial interactions #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics Simulations and Interactions #Graphics (cs.GR) #I.3.6 #I.3.7 #Modular Robots and Swarm Intelligence
paper · pdf · doi:10.48550/arxiv.2403.11156
openalex publication_date 2024/03/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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/SPHProject, 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.