A comparative study of micromorphic gradient-extensions for anisotropic damage at finite strains

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Tim van der Velden, Tim Brepols, Stefanie Reese, Hagen Holthusen
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Abstract

Modern inelastic material model formulations rely on the use of tensor-valued internal variables. When inelastic phenomena include softening, simulations of the former are prone to localization. Thus, an accurate regularization of the tensor-valued internal variables is essential to obtain physically correct results. Here, we focus on the regularization of anisotropic damage at finite strains. Thus, a flexible anisotropic damage model with isotropic, kinematic, and distortional hardening is equipped with three gradient-extensions using a full and two reduced regularizations of the damage tensor. Theoretical and numerical comparisons of the three gradient-extensions yield excellent agreement between the full and the reduced regularization based on a volumetric-deviatoric regularization using only two nonlocal degrees of freedom.

Abstract Image

有限应变下各向异性损伤的微形态梯度拉伸比较研究
现代非弹性材料模型公式依赖于张量值内部变量的使用。当非弹性现象包括软化时,对前者的模拟容易出现局部化。因此,张量值内部变量的精确正则化对于获得物理上正确的结果至关重要。在此,我们重点讨论有限应变下各向异性损伤的正则化问题。因此,一个具有各向同性、运动学和变形硬化的柔性各向异性损伤模型配备了三个梯度扩展,使用损伤张量的一个完全正则化和两个简化正则化。通过对这三种梯度扩展进行理论和数值比较,发现完全正则化和基于容积-偏差正则化的简化正则化(仅使用两个非局部自由度)之间具有极佳的一致性。
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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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