Two-particle debris flow simulation based on SPH

被引:0
|
作者
Zhang, Jiaxiu [1 ]
Yang, Meng [1 ,2 ]
Li, Xiaomin [1 ]
Jiang, Qun'ou [3 ]
Zhang, Heng [1 ]
Meng, Weiliang [4 ,5 ]
机构
[1] Beijing Forestry Univ, Sch Informat Sci & Technol, Beijing 100083, Peoples R China
[2] Natl Forestry & Grassland Adm, Engn Res Ctr Forestry Oriented Intelligent Informa, Beijing, Peoples R China
[3] Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing, Peoples R China
[4] Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing, Peoples R China
[5] Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
基金
中国国家自然科学基金; 北京市自然科学基金; 国家重点研发计划;
关键词
debris flow; GPU acceleration; natural disaster simulation; SPH; FLUIDIZED GRANULAR MASSES; ANIMATION; MODEL;
D O I
10.1002/cav.2261
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Debris flow is a highly destructive natural disaster, necessitating accurate simulation and prediction. Existing simulation methods tend to be overly simplified, neglecting the three-dimensional complexity and multiphase fluid interactions, and they also lack comprehensive consideration of soil conditions. We propose a novel two-particle debris flow simulation method based on smoothed particle hydrodynamics (SPH) for enhanced accuracy. Our method employs a sophisticated two-particle model coupling debris flow dynamics with SPH to simulate fluid-solid interaction effectively, which considers various soil factors, dividing terrain into variable and fixed areas, incorporating soil impact factors for realistic simulation. By dynamically updating positions and reconstructing surfaces, and employing GPU and hash lookup acceleration methods, we achieve accurate simulation with significantly efficiency. Experimental results validate the effectiveness of our method across different conditions, making it valuable for debris flow risk assessment in natural disaster management.
引用
收藏
页数:17
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