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.
Authors
- Baoquan Chen (ORCID: https://orcid.org/0000-0003-4702-036X)
- Tiantian Liu (ORCID: https://orcid.org/0000-0002-5614-1588)
- Liangwang Ruan (ORCID: https://orcid.org/0000-0003-0803-1429)
- Bin Wang (ORCID: https://orcid.org/0000-0001-9496-772X)
Institutions
- Peking University (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Beijing Institute for General Artificial Intelligence (CN)
Publication Details
- Journal
- ACM Transactions on Graphics
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1145/3687758
- Citations
- 5
- Primary Topic
- Elasticity and Material Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.92