体积弹性接触的线性和角动量守恒混合粒子/网格迭代

IF 1.4 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
A. M. Razon, Yizhou Chen, Yushan Han, S. Gagniere, M. Tupek, J. Teran
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引用次数: 0

摘要

提出了一种守恒动量的粒子/网格混合迭代方法来求解体积弹性碰撞。我们的混合方法使用隐式时间步进和体积弹性材料的拉格朗日有限元离散化,以及基于脉冲的碰撞校正动量更新,旨在精确保存线动量和角动量。我们使用两步的碰撞过程:首先,我们使用一种新的基于网格的方法,利用粒子单元(PIC)技术的有利碰撞分辨率特性,然后我们利用连续碰撞检测的经典碰撞脉冲策略完成。我们的PIC方法使用单元内仿射粒子动量转移作为防止碰撞的脉冲,以及新颖的完美动量守恒边界重采样和下采样算子,以防止网格分辨率不同的边界部分出现伪影。我们将其与动量守恒的预兆迭代相结合,以消除数值内聚和模型滑动摩擦。我们的碰撞策略具有与传统方法相同的连续碰撞检测,但是我们的混合粒子/网格迭代大大减少了所需的迭代次数。最后,我们建立了一种新的对称正半定瑞利阻尼模型,它增加了与隐式时间步进相关的非线性系统的凸性。我们在一些碰撞密集的例子中证明了我们的方法的鲁棒性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Linear and Angular Momentum Conserving Hybrid Particle/Grid Iteration for Volumetric Elastic Contact
We present a momentum conserving hybrid particle/grid iteration for resolving volumetric elastic collision. Our hybrid method uses implicit time stepping with a Lagrangian finite element discretization of the volumetric elastic material together with impulse-based collision-correcting momentum updates designed to exactly conserve linear and angular momentum. We use a two-step process for collisions: first we use a novel grid-based approach that leverages the favorable collision resolution properties of Particle-In-Cell (PIC) techniques, then we finalize with a classical collision impulse strategy utilizing continuous collision detection. Our PIC approach uses Affine-Particle-In-Cell momentum transfers as collision preventing impulses together with novel perfectly momentum conserving boundary resampling and downsampling operators that prevent artifacts in portions of the boundary where the grid resolution is of disparate resolution. We combine this with a momentum conserving augury iteration to remove numerical cohesion and model sliding friction. Our collision strategy has the same continuous collision detection as traditional approaches, however our hybrid particle/grid iteration drastically reduces the number of iterations required. Lastly, we develop a novel symmetric positive semi-definite Rayleigh damping model that increases the convexity of the nonlinear systems associated with implicit time stepping. We demonstrate the robustness and efficiency of our approach in a number of collision intensive examples.
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CiteScore
2.90
自引率
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