概括性
解算器
计算机科学
稳健性(进化)
有限元法
集合(抽象数据类型)
算法
数学优化
数学
物理
程序设计语言
心理学
化学
生物化学
热力学
心理治疗师
基因
作者
Sofien Bouaziz,Sebastián Martín,Tiantian Liu,Ladislav Kavan,Mark V. Pauly
出处
期刊:ACM eBooks
[ACM]
日期:2023-08-01
卷期号:: 787-797
被引量:45
标识
DOI:10.1145/3596711.3596794
摘要
We present a new method for implicit time integration of physical systems. Our approach builds a bridge between nodal Finite Element methods and Position Based Dynamics, leading to a simple, efficient, robust, yet accurate solver that supports many different types of constraints. We propose specially designed energy potentials that can be solved efficiently using an alternating optimization approach. Inspired by continuum mechanics, we derive a set of continuum-based potentials that can be efficiently incorporated within our solver. We demonstrate the generality and robustness of our approach in many different applications ranging from the simulation of solids, cloths, and shells, to example-based simulation. Comparisons to Newton-based and Position Based Dynamics solvers highlight the benefits of our formulation.
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