在有限单元法中对发生大弹塑性变形的结构进行重网格化和特征值稳定化处理

IF 2.2 3区 工程技术 Q2 MECHANICS
Roman Sartorti, Wadhah Garhuom, Alexander Düster
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引用次数: 0

摘要

大应变分析是一项具有挑战性的任务,尤其是在虚构域或沉浸边界域方法中,因为严重破坏的元素/单元会导致全局切向刚度矩阵条件不良,从而导致增量/迭代求解方法出现收敛问题。在这项工作中,有限单元法作为一种虚域方法,与特征值稳定技术相结合,以确保求解过程的稳定性。此外,还采用了重网格策略,以适应几何体的高变形配置。在重网格化过程中,利用径向基函数和反距离加权插值方案来映射新旧网格之间的位移梯度和内部变量。在有限应变弹塑性的背景下,我们首次利用各种数值示例证明了重网格方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Remeshing and eigenvalue stabilization in the finite cell method for structures undergoing large elastoplastic deformations

Remeshing and eigenvalue stabilization in the finite cell method for structures undergoing large elastoplastic deformations

Large strain analysis is a challenging task, especially in fictitious or immersed boundary domain methods, since badly broken elements/cells can lead to an ill-conditioned global tangent stiffness matrix, resulting in convergence problems of the incremental/iterative solution approach. In this work, the finite cell method is employed as a fictitious domain approach, in conjunction with an eigenvalue stabilization technique, to ensure the stability of the solution procedure. Additionally, a remeshing strategy is applied to accommodate highly deformed configurations of the geometry. Radial basis functions and inverse distance weighting interpolation schemes are utilized to map the displacement gradient and internal variables between the old and new meshes during the remeshing process. For the first time, we demonstrate the effectiveness of the remeshing approach using various numerical examples in the context of finite strain elastoplasticity.

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来源期刊
CiteScore
4.40
自引率
10.70%
发文量
234
审稿时长
4-8 weeks
期刊介绍: Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.
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