固体动力学仿真的无网格哈密顿法

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Jie Zhang , Eric P. Fahrenthold
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引用次数: 0

摘要

大量的固体动力学问题都集中在断裂、破碎和热力学破坏过程上,而目前的连续、粒子或粒子-连续混合公式都难以适应这些问题。在最近的研究中,作者开发了一种新的无网格固体动力学模拟方法来解决这类问题。该方法采用非整体哈密顿建模技术,将大应变弹塑性变形的连续级描述与包含非连续断裂和破碎过程的系统级模型相结合。不使用偏微分方程。该方法避免了拉格朗日有限元方法的网格畸变问题、欧拉有限体积方法的质量扩散问题以及与各种基于粒子的模拟算法相关的一系列复杂问题。该方法的应用表明,在一维测试问题中与精确解法有很好的一致性,在包含断裂、碎裂和大应变弹塑性变形的三维冲击物理模拟中与实验结果有很好的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mesh free Hamiltonian method for solid dynamics simulation
A wide range of solid dynamics problems include a central focus on fracture, fragmentation, and thermomechanical failure processes difficult to accommodate in current continuum, particle, or mixed particle-continuum formulations. In recent research the authors have developed a new mesh-free method for solid dynamics simulation which addresses this class of problems. The method uses a nonholonomic Hamiltonian modeling technique to combine a continuum level description of large strain elastic–plastic deformation with a system level model incorporating discontinuous fracture and fragmentation processes. No partial differential equations are used. The method avoids the mesh distortion problems of Lagrangian finite element methods, the mass diffusion problems of Eulerian finite volume methods, and a range of complications associated with various particle based simulation algorithms. Application of the method shows good agreement with exact solutions in one dimensional test problems and good agreement with experimental results in three dimensional shock physics simulations incorporating fracture, fragmentation, and large strain elastic–plastic deformation.
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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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