一种新的带粒子边界的隐式细胞质点方法及其在接触问题中的应用

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Jae-Uk Song, Hyun-Gyu Kim
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引用次数: 0

摘要

为了有效地解决大变形静力问题,提出了一种带粒子边界的隐式元胞质点法。基于改进拉格朗日方法的增量弱形式的体积积分在等分网格单元定义的积分点上进行计算,消除了网格交叉误差,减小了求解粒子与背景网格不对齐问题时的积分误差。采用基于粒子体积的水平集函数来定义粒子边界。增加了与粒子边界相交的边界网格单元积分点的个数,以便更准确地执行边界网格单元上增量弱形式的数值积分。该方法用于求解被粒子离散的两个物体的接触问题。使用边界网格单元积分点的水平集值检测粒子之间的接触。在接触渗透域中,用体积积分代替接触弱形式的表面积分。数值结果表明,基于隐式元胞的粒子边界点法可以有效地解决大变形接触问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel implicit cell-based material point method with particle boundaries and its application to contact problems
In this paper, an implicit cell-based material point method (MPM) with particle boundaries is proposed to effectively solve large deformation static problems. The volume integrals of the incremental weak form based on an updated Lagrangian approach are evaluated at integration points defined by equally sub-dividing grid cells, which eliminates the cell-crossing error and reduces the integration error in solving problems with particles not aligned with a background grid. A level set function based on the particle volume is used to define a particle boundary. The number of integration points of the boundary grid cells intersected by the particle boundary is increased to more accurately perform the numerical integration of the incremental weak form over the boundary grid cells. The present method is applied to solve contact problems of two bodies discretized by particles. Contact between particles is detected using the level set values ​​at the integration points of the boundary grid cells. The surface integral of the contact weak form is replaced by a volume integral in the contact penetration domain. Numerical results show that large deformation contact problems can be effectively solved by the implicit cell-based MPM with particle boundaries.
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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