大变形三维连续点云法及其验证

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
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引用次数: 0

摘要

本研究提出了一种基于强形式的无网格配位方法,命名为 "连续点云法"(Continuum Point Cloud Method),用于求解三维欧几里得空间中变形体的经典力学非线性场方程。该方法及其实现以使用人造解的非线性矢量场为基准。对力学场的分析首先侧重于研究 St.介绍了各种初始边界值问题的结果,包括涉及单向拉伸和简单剪切的基准案例。研究最后分析了可压缩新胡肯材料的位移控制模拟,特别是一根被拉伸到原长度 50%并旋转 90° 的棒材。在纯拉伸情况下,计算值和预期值之间的位移误差为 1.5%,而在拉伸和扭转组合加载情况下,可进一步了解复杂加载条件下的材料行为。此外,还展示了由此得出的法向轴向和横向应力应变曲线。最后,通过各种数值实验成功证明了所提出的非线性数值方案的一致性和稳健性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Three-dimensional continuum point cloud method for large deformation and its verification

This study presents a strong form based meshfree collocation method, which is named Continuum Point Cloud Method, to solve nonlinear field equations derived from classical mechanics for deformed bodies in three-dimensional Euclidean space. The method and its implementation are benchmarked against a nonlinear vector field using manufactured solutions. The analysis of mechanical fields firstly focuses on the study of St. Venant Kirchhoff and compressible neo-Hookean materials. Results for various initial boundary value problems are presented, including benchmark cases involving unidirectional tension and simple shear. Subsequently, the study concludes with an analysis of a displacement-controlled simulation of a compressible neo-Hookean material, specifically a bar that is pulled to 50% of its original length and rotated 90°. The pure tension case yields a 1.5% error in displacement between computed and expected values and a combined tension and torsion loading case provides further insight into material behavior under complex loading conditions. The resulting normal axial and transverse stress-strain curves are also presented. Finally, the consistency and robustness of the proposed nonlinear numerical schemes are successfully demonstrated through various numerical experiments.

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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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