Physically based modeling and animation of landslides with MPM
| Autor: | Jianwang Zhao, Haitong Zhang, Yi Chen, Zhangye Wang, Qunsheng Peng, Xia Hao |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Yield surface
020207 software engineering Landslide Signed distance function 02 engineering and technology Animation Computer Graphics and Computer-Aided Design Computer graphics 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Geotechnical engineering Collision detection Computer Vision and Pattern Recognition Soil dynamics Software Material point method Geology |
| Zdroj: | The Visual Computer. 35:1223-1235 |
| ISSN: | 1432-2315 0178-2789 |
| DOI: | 10.1007/s00371-019-01709-3 |
| Popis: | Landslide is a disaster which may cause huge losses of human life and block the traffic on hilly area. In this paper, we present a new physically based model to simulate the dynamic flow of landslides, under a modified MPM (material point method) framework. To realistically simulate the characteristics of fracture and flow of soil medium in landslide, we introduce the modified Cambridge clay model (MCCM) from soil dynamics into the yield surface criterion to model the dynamic process of landslides. The interaction between soil and rock in the landslide is simulated by a level-set-based two-way fluid–solid coupling algorithm. Meanwhile, we propose a GPU-based optimization to calculate the signed distance function in level set to improve the efficiency of collision detection. We also simplify the hardening and softening parameter calculation algorithm of MCCM to reduce the calculation involved in landslide simulation. By choosing different values of the material yield surface parameters, various kinds of landslide disaster scenes with different cover area are successfully generated, including rocks rolling from hill, soil and rock collapsing, landslide flowing, and covering the road and cars. Experimental results demonstrate the potential of our method. |
| Databáze: | OpenAIRE |
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