MiNNIE:用于非线性近不可压缩弹性体实时模拟的混合多网格方法

IF 7.8 1区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Liangwang Ruan, Bin Wang, Tiantian Liu, Baoquan Chen
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引用次数: 0

摘要

我们提出的 MiNNIE 是一种简单而全面的非线性近可压缩弹性体实时模拟框架。为了避免线性有限元方法(FEM)在高泊松比时常见的体积锁定问题,我们在混合有限元框架的基础上构建了 MiNNIE,并进一步加入了压力稳定项,以确保多网格求解器的出色收敛性。我们的压力稳定策略会对节点位移产生有界影响,这种影响可以通过准牛顿方法消除。MiNNIE 有一个专门定制的 GPU 多网格求解器,包括一个改进的趋肤空间插值方案、一个新颖的顶点 Vanka 平滑器和一个使用舒尔补法的高效密集求解器。MiNNIE 支持各种弹性材料模型并对其进行实时仿真,支持高达 0.5 的各种泊松比,同时还能处理大变形、元素反转和自碰撞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MiNNIE: a Mixed Multigrid Method for Real-time Simulation of Nonlinear Near-Incompressible Elastics
We propose MiNNIE, a simple yet comprehensive framework for real-time simulation of nonlinear near-incompressible elastics. To avoid the common volumetric locking issues at high Poisson's ratios of linear finite element methods (FEM), we build MiNNIE upon a mixed FEM framework and further incorporate a pressure stabilization term to ensure excellent convergence of multigrid solvers. Our pressure stabilization strategy injects bounded influence on nodal displacement which can be eliminated using a quasiNewton method. MiNNIE has a specially tailored GPU multigrid solver including a modified skinning-space interpolation scheme, a novel vertex Vanka smoother, and an efficient dense solver using Schur complement. MiNNIE supports various elastic material models and simulates them in real-time, supporting a full range of Poisson's ratios up to 0.5 while handling large deformations, element inversions, and self-collisions at the same time.
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来源期刊
ACM Transactions on Graphics
ACM Transactions on Graphics 工程技术-计算机:软件工程
CiteScore
14.30
自引率
25.80%
发文量
193
审稿时长
12 months
期刊介绍: ACM Transactions on Graphics (TOG) is a peer-reviewed scientific journal that aims to disseminate the latest findings of note in the field of computer graphics. It has been published since 1982 by the Association for Computing Machinery. Starting in 2003, all papers accepted for presentation at the annual SIGGRAPH conference are printed in a special summer issue of the journal.
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