A nonlocal mixed-mode fatigue crack growth model based on peridynamic differential operator theory

IF 7.3 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2025-02-26 DOI:10.1016/j.cma.2025.117855
Jianrui Liu , Junxiang Wang , Zhaobo Song , Liang Wang
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Abstract

This study presents a novel peridynamics (PD) fatigue model for the fatigue crack growth analysis under mixed-mode loading conditions. The foundational aspect of this work involves the application of Peridynamic Differential Operator (PDDO) theory, based on which the analytical relationships between the non-local bond deformations and local strain/stress tensors are first established with the consideration of bond rotation kinematics. Furthermore, the correlations between the bond stretch and Stress Intensity Factors (SIFs) within the crack tip field are rigorously derived, which facilitates the description of fatigue damage in alignment with the classical Linear Elastic Fracture Mechanics (LEFM) theory. The PD fatigue model is implemented through a coupled PDDO and finite element (FE) approach to achieve higher numerical efficiency. Finally, the model's validity is demonstrated through high-fidelity simulation of several benchmark mixed-mode fatigue examples. A notable advantage of the proposed PD fatigue model is its seamless integration of peridynamic theory with classical fracture mechanics, and the model parameters can be rigorously and accurately calibrated for mixed-mode fatigue problems.
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基于周动态微分算子理论的非局部混合模式疲劳裂纹增长模型
本文提出了一种新的周动力疲劳模型,用于混合加载条件下的疲劳裂纹扩展分析。本工作的基础方面涉及到周动力微分算子(PDDO)理论的应用,在此基础上,首先建立了考虑键旋转运动学的非局部键变形与局部应变/应力张量之间的解析关系。在此基础上,严格推导了裂纹尖端场中粘结拉伸与应力强度因子(SIFs)之间的关系,使疲劳损伤的描述符合经典的线弹性断裂力学(LEFM)理论。通过PDDO和有限元(FE)耦合的方法实现PD疲劳模型,以获得更高的数值效率。最后,通过若干基准混合模态疲劳算例的高保真仿真验证了该模型的有效性。本文提出的PD疲劳模型的一个显著优点是将周动力理论与经典断裂力学无缝结合,可以对混合模态疲劳问题严格、准确地标定模型参数。
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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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