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A Moving Least Squares Material Point Method with Displacement Discontinuity and Two-Way Rigid Body Coupling

机译:位移不连续和双向刚体耦合的移动最小二乘物质点方法

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摘要

In this paper, we introduce the Moving Least Squares Material Point Method (MLS-MPM). MLS-MPM naturally leads to the formulation of Affine Particle-In-Cell (APIC) [Jiang et al. 2015] and Polynomial Particle-In-Cell [Fu et al. 2017] in a way that is consistent with a Galerkin-style weak form discretization of the governing equations. Additionally, it enables a new stress divergence discretization that effortlessly allows all MPM simulations to run two times faster than before. We also develop a Compatible Particle-In-Cell (CPIC) algorithm on top of MLS-MPM. Utilizing a colored distance field representation and a novel compatibility condition for particles and grid nodes, our framework enables the simulation of various new phenomena that are not previously supported by MPM, including material cutting, dynamic open boundaries, and two-way coupling with rigid bodies. MLS-MPM with CPIC is easy to implement and friendly to performance optimization.
机译:在本文中,我们介绍了移动最小二乘实质点方法(MLS-MPM)。 MLS-MPM自然会导致仿射细胞内颗粒(APIC)的形成[Jiang等。 2015]和多项式单元内粒子[Fu等。 [2017年]的方式与控制方程的Galerkin式弱形式离散化相一致。此外,它可以实现新的应力发散离散化,毫不费力地使所有MPM仿真的运行速度比以前快两倍。我们还在MLS-MPM之上开发了一种兼容的单元内粒子(CPIC)算法。我们的框架利用彩色距离场表示以及粒子和网格节点的新颖兼容性条件,可以模拟MPM以前不支持的各种新现象,包括材料切割,动态开放边界以及与刚体的双向耦合。具有CPIC的MLS-MPM易于实现,并且对性能优化很友好。

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