An enhanced nonlinear fatigue cumulative damage model based on toughness exhaustion and strength degradation

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue Pub Date : 2025-04-23 DOI:10.1016/j.ijfatigue.2025.109025

Yifan Yu , Liyong Wang , Jianpeng Wu , Shuyuan Chang , Ximing Zhang

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引用次数: 0

Abstract

Accurate prediction of fatigue life under variable amplitude (VA) loading remains fundamentally challenged by load-sequence-dependent damage accumulation in metallic structures. This study establishes a nonlinear cumulative damage model integrating toughness exhaustion and strength degradation mechanisms through damage equivalence principles. Multi-level VA experiments on carbon steel, alloy steel, and aerospace aluminum alloys demonstrate that the proposed model reduces life prediction errors to 6.53% (5-level) and 9.43% (8-level), achieving 93.94% and 94.79% accuracy improvement versus the Palmgren-Miner method. Statistical evaluations reveal dominant control of two key factors: material ultimate tensile strength (UTS) and stress amplitude differential between successive cycles. These advancements provide validated engineering tools for durability assessment of aero-engine components and military vehicle systems experiencing complex mission profiles.

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基于韧性耗竭和强度退化的增强非线性疲劳累积损伤模型

金属结构中随载荷序列变化的损伤累积，对变幅载荷下疲劳寿命的准确预测提出了根本性的挑战。通过损伤等效原理，建立了一个综合了韧性耗尽和强度退化机制的非线性累积损伤模型。在碳钢、合金钢和航空铝合金上进行的多层级VA实验表明，该模型将寿命预测误差降低至6.53%（5级）和9.43%（8级），与Palmgren-Miner方法相比，准确率分别提高了93.94%和94.79%。统计评估揭示了两个关键因素的主导控制：材料的极限抗拉强度（UTS）和连续循环之间的应力幅值差。这些进步为航空发动机部件和军用车辆系统的耐久性评估提供了有效的工程工具。

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来源期刊

International Journal of Fatigue 工程技术-材料科学：综合

CiteScore

10.70

自引率

21.70%

发文量

619

审稿时长

58 days

期刊介绍： Typical subjects discussed in International Journal of Fatigue address: Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements) Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions) Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation) Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering Smart materials and structures that can sense and mitigate fatigue degradation Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.