A variational phase-field framework for thermal softening and dynamic ductile fracture

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
David E. Torres , Tianchen Hu , Andrew J. Stershic , Timothy R. Shelton , John E. Dolbow
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引用次数: 0

Abstract

A variational phase field model for dynamic ductile fracture is presented. The model is designed for elasto-viscoplastic materials subjected to rapid deformations in which the effects of heat generation and material softening are dominant. The variational framework allows for the consistent inclusion of plastic dissipation in the heat equation as well as thermal softening. It employs a coalescence function to degrade fracture energy during regimes of high plastic flow. A variationally consistent form of the Johnson–Cook model is developed for use with the framework. Results from various benchmark problems in dynamic ductile fracture are presented to demonstrate capabilities. In particular, the ability of the model to regularize shear band formation and subsequent damage evolution in two- and three-dimensional problems is demonstrated. Importantly, these phenomena are naturally captured through the underlying physics without the need for phenomenological criteria such as stability thresholds for the onset of shear band formation.
热软化和动态韧性断裂的变分相场框架
本文介绍了动态韧性断裂的变分相场模型。该模型是针对受快速变形影响的弹塑性材料设计的,在快速变形过程中,热生成和材料软化的影响占主导地位。变分框架允许将塑性耗散和热软化一致纳入热方程。它采用了凝聚函数来降低高塑性流动时的断裂能量。为与该框架配合使用,开发了约翰逊-库克(Johnson-Cook)模型的变化一致形式。本文介绍了动态韧性断裂中各种基准问题的结果,以展示其能力。特别是展示了该模型在二维和三维问题中规范剪切带形成和后续损伤演变的能力。重要的是,这些现象可以通过底层物理自然地捕捉到,而不需要现象学标准,如剪切带形成的稳定性阈值。
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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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