比例(比率)
粒子法
光滑粒子流体力学
粒子(生态学)
计算机科学
机械
统计物理学
物理
数学
地质学
数学分析
边值问题
量子力学
海洋学
作者
Xiaoxiao Li,Jiahao Liu,Yao Lu,Moubin Liu
标识
DOI:10.1142/s0219876223420057
摘要
Particle generation is important for particle-based methods. The reasonable initial particle distribution has a profound impact on the computational accuracy and the stability of particle-based methods. We propose a particle generation method that generates the body-fitted and uniform particles fast. This method first generates initial body-fitted and locally uniformly distributed particles on the geometric facets, following the spatial partitioning, particle hashing, particle sorting, and particle merging. The surface particles become body-fitted and uniform. In addition, we combine several other generation methods of boundary-level particles and inner particles to provide a unified framework for the pre-processing process of the smoothed particle hydrodynamics (SPH) method. Some particle generation examples of complex geometric models demonstrate the feasibility and effectiveness of this method. The proposed method can generate large-scale particles of complex geometric models, improve the handling capacity of pre-processing techniques, and keep up with the scale of solvers.
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