4.7 Article

A residual control staggered solution scheme for the phase-field modeling of brittle fracture

期刊

ENGINEERING FRACTURE MECHANICS
卷 205, 期 -, 页码 370-386

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engfracmech.2018.09.027

关键词

Brittle fracture; Phase-field modeling; Abaqus; Staggered algorithm; Stopping criterion

资金

  1. Croatian Science Foundation under the project Multiscale Numerical Modelling of Material Deformation Responses from Macro-to Nanolevel [2516]

向作者/读者索取更多资源

The phase-field approach to fracture modeling circumvents the crack-surface tracking problem by introducing the phase-field variable which separates the broken and unbroken material states through a smooth transition. However, very fine spatial discretization is required to resolve the smooth distribution of the phase-field regulated by a small length scale parameter. Thus, it can be computationally rather expensive when paired with an inefficient solution scheme. This contribution presents a comprehensive discussion on the use of a stopping criterion within the broadly used staggered algorithm. The stopping criterion of the iterative scheme based on the control of the residual norm is introduced and implemented in the finite element software Abaqus. It alleviates the problem of the common single iteration staggered algorithm, which requires fine loading incrementation to produce an accurate solution. The model verification is conducted on several standard benchmark tests and a porous microstructure exhibiting complex crack phenomena. The detailed discussions regarding the proposed implementation's accuracy and CPU time usage are provided, demonstrating an improvement in computational efficiency with accurate results no longer dependent on the careful selection of loading incrementation. The algorithm codes in the form of the Abaqus user subroutines UMAT and UEL are publicly available on Mendeley data repository linked to this work.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据