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

IF 6.9 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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引用次数: 0

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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来源期刊

Computer Methods in Applied Mechanics and Engineering 工程技术-工程：综合

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.