Semi-Implicit Pairwise Descent for Nonlocal Continuum Mechanics

📅 2026-09-09
📈 Citations: 0
Influential: 0
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🤖 AI Summary
提出Semi-Implicit Pairwise Descent方法,通过非局部视角的成对力表示来模拟大规模超弹性材料,避免了Hessian计算,降低了计算开销,并统一处理接触和摩擦问题。
📝 Abstract
We propose Semi-Implicit Pairwise Descent (SIPD), a unified nonlocal pairwise framework for simulating large-scale hyperelastic materials involving complex contact and friction. By reformulating the Finite Element Method (FEM) equations of motion into a pairwise force representation from a nonlocal perspective, our approach avoids costly Hessian computations, leading to a reduction in per-iteration computational overhead. Furthermore, we propose an analytical projection strategy for projecting our Hessian-free coefficient matrices to positive semi-definiteness. And we treat contact and friction as a unified anisotropic elastic energy, allowing for a seamless integration into the elastic solver framework. We mathematically prove that our method is unconditionally stable and numerically convergent.Experimental results demonstrate that SIPD achieves real-time performance for million-scale simulations even under intricate contact and friction conditions.
Problem

Research questions and friction points this paper is trying to address.

nonlocal continuum mechanics
hyperelastic materials
complex contact and friction
computational overhead
Innovation

Methods, ideas, or system contributions that make the work stand out.

Semi-Implicit Pairwise Descent
nonlocal continuum mechanics
Hessian-free computation
unified anisotropic elastic energy
real-time performance
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Xukun Luo
Institute of Software, Chinese Academy of Sciences and UCAS, China
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Xiao Cheng
Institute of Software, Chinese Academy of Sciences and UCAS, China
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Yuzhong Guo
Institute of Software, Chinese Academy of Sciences, China
Ying Qiao
Ying Qiao
Institute of Software, Chinese Academy of Sciences, China
Wencheng Wang
Wencheng Wang
Professor of Institute of Software, Chinese Academy of Sciences
VisualizationVirtual RealityComputer GraphicsRenderingImaging
Xiaowei He
Xiaowei He
Institute of Software, Chinese Academy of Sciences, China