A new nonlinear fatigue cumulative damage model based on load interaction and strength degradation

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue Pub Date : 2024-11-15 DOI:10.1016/j.ijfatigue.2024.108709

Qian Xiao, Xilin Wang, Daoyun Chen, Xinjian Zhou, Xinlong Liu, Wenbin Yang

引用次数: 0

Abstract

A new nonlinear fatigue cumulative damage model is proposed to address the challenge of insufficient accuracy in calculations stemming from nonlinear cumulative damage models that fail to account for strength degradation effects and interactions among multi-level loads. This model, an enhancement of the Aeran fatigue damage model, incorporates stress ratios to capture load interactions and includes a logarithmic residual strength degradation model extended to multi-level stress states. Comparative analysis of this model against the Miner model and two other models across various material fatigue datasets shows superior predictive accuracy. Specifically, the new model demonstrates a 74.43% improvement over the Aeran model under six-level loading conditions. Its straightforward mathematical formulation makes it practical for engineering applications in fatigue life prediction.

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基于载荷相互作用和强度退化的新型非线性疲劳累积损伤模型

由于非线性累积损伤模型未能考虑强度退化效应和多级载荷之间的相互作用，导致计算精度不足，为解决这一难题，本文提出了一种新的非线性疲劳累积损伤模型。该模型是 Aeran 疲劳损伤模型的增强版，采用应力比来捕捉载荷之间的相互作用，并包含一个扩展到多级应力状态的对数残余强度退化模型。该模型与 Miner 模型和其他两个模型在各种材料疲劳数据集上的对比分析表明，其预测准确性更胜一筹。具体来说，在六级加载条件下，新模型比 Aeran 模型提高了 74.43%。其简单明了的数学公式使其在疲劳寿命预测的工程应用中非常实用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.