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Material point method simulations using an approximate full mass matrix inverse

机译:使用近似全质量矩阵逆的材料点法模拟

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All material point method (MPM) codes approximate the full mass matrix with a lumped mass matrix. Because this approach causes dissipation, most MPM simulations rely on so-called FLIP methods to limit dissipation. Recent work to deal with noise caused by those FLIP methods derived the XPIC method (for extended particle in cell method) that filters null space noise from particle velocities using a projection operator. This paper shows that the XPIC projection operator is equivalent to doing grid calculations using an asymptotic expansion of the full mass matrix inverse. From that insight, we derived FMPM(k) for full mass matrix MPM of order k (where the mass matrix inverse is expanded to k terms). Compared to prior MPM algorithms, FMPM changes the methods used to update particle velocities, positions, stresses, and strains. Several examples show that FMPM is more stable and accurate, has less dissipation than XPIC, and with high enough k has less dissipation than FLIP methods. One challenge in MPM is imposing velocity conditions on the grid and those challenges are amplified in FMPM. This paper describes a new moving-wall approach that improves grid boundary conditions and is beneficial to both FMPM and prior MPM. Finally, the use of FMPM for multimaterial mode MPM, with explicit cracks, and with affine extrapolation options is each discussed. (C) 2021 Elsevier B.V. All rights reserved.
机译:所有材料点法(MPM)代码近似全质量矩阵用块状质量矩阵。因为这种方法导致耗散,所以大多数MPM仿真依赖于所谓的翻转方法来限制耗散。最近处理由那些翻转方法引起的噪声的工作导出XPIC方法(对于电池方法中的扩展粒子),通过使用投影算子从粒子速度滤波空隙噪声。本文表明,XPIC投影算子等同于使用全质量矩阵逆的渐近扩展进行网格计算。从该洞察力来看,我们衍生出FMPM(k)的全质量矩阵MPM(其中质量矩阵逆扩展到K术语)。与先前的MPM算法相比,FMPM改变了用于更新粒子速度,位置,应力和菌株的方法。有几个例子表明,FMPM更稳定,精确,耗散低于XPIC,足够高的K比翻转方法较少。 MPM中的一个挑战在网格上强加速度条件,并且这些挑战在FMPM中放大。本文介绍了一种新的移动墙方法,可提高电网边界条件,并对FMPM和先前的MPM有益。最后,每个都讨论了使用FMPM进行多维模式MPM,并且每次讨论具有显式裂缝和仿射外推选项。 (c)2021 Elsevier B.v.保留所有权利。

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