An adaptive cycle jump method for elasto-plastic phase field modeling addressing fatigue crack propagation

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Jiawei Li , Yanan Hu , Ni Ao , Hongchen Miao , Xu Zhang , Guozheng Kang , Qianhua Kan
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引用次数: 0

Abstract

In recent years, the phase field method has been widely used in the simulation of fatigue crack propagation. However, fine mesh and cyclic simulation cycle by cycle significantly increase the computational cost of phase field simulation, which poses challenges in simulating the entire process of fatigue crack propagation. This paper proposes a cycle jump method considering the effect of plasticity at the crack tip, enabling accelerated simulations of fatigue crack propagation in elasto-plastic materials. In this method, fatigue crack propagation is accelerated through cycle jump prediction of displacement field and phase field variables, while the plastic strain accumulation at the crack tip is considered by the prediction of displacement field variables. An adaptive algorithm is developed to automatically adjust the cycle jump size based on the phase field evolution. The effectiveness of the proposed method is verified by several numerical examples. The results show that the proposed method ensures computational accuracy while significantly enhancing efficiency.
一种求解疲劳裂纹扩展的弹塑性相场模型自适应循环跳变方法
近年来,相场法在疲劳裂纹扩展模拟中得到了广泛的应用。然而,细网格和逐周期的循环模拟大大增加了相场模拟的计算成本,这给模拟疲劳裂纹扩展的全过程带来了挑战。本文提出了一种考虑裂纹尖端塑性影响的循环跳变方法,实现了弹塑性材料疲劳裂纹扩展的加速模拟。该方法通过位移场和相场变量的周期跳跃预测来加速疲劳裂纹扩展,同时通过位移场变量的预测来考虑裂纹尖端的塑性应变积累。提出了一种基于相场演化自动调整周期跳变大小的自适应算法。算例验证了该方法的有效性。结果表明,该方法在保证计算精度的同时,显著提高了计算效率。
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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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