.png){kind=icon}
返回
Deformation Embedding for Point-Based Elastoplastic Simulation
.png){kind=icon}
OA
AI
DOI：10.1145/2560795.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We present a straightforward, easy-to-implement, point-based approach for animating elastoplastic materials. The core idea of our approach is the introduction of embedded space-the least-squares best fit of the material's rest state into three dimensions. Nearest-neighbor queries in the embedded space efficiently update particle neighborhoods to account for plastic flow. These queries are simpler and more efficient than remeshing strategies employed in mesh-based finite element methods. We also introduce a new estimate for the volume of a particle, allowing particle masses to vary spatially and temporally with fixed density. Our approach can handle simultaneous extreme elastic and plastic deformations. We demonstrate our approach on a variety of examples that exhibit a wide range of material behaviors.
Keyword:
Algorithms
Experimentation
Viscoelastic materials
point-based animation
natural phenomena
physics-based animation
期刊
IF:
9.5
论文数:
4.7K
被引数:
3.6W
机构
引用论文
.png){kind=icon}
A calcineurin- and NFAT-dependent pathway regulates Myf5 gene expression in skeletal muscle reserve cells钙调神经磷酸酶和NFAT依赖性途径调节骨骼肌储备细胞中Myf5基因的表达
PREAI
分享收藏
查看更多内容