A novel notch classification model for stress gradient-based fatigue life prediction under low and high cycle fatigue loading

IF 6.8 2区 材料科学 Q1 ENGINEERING, MECHANICAL International Journal of Fatigue Pub Date : 2025-03-02 DOI:10.1016/j.ijfatigue.2025.108907
Jiayuan Gu , Rui Zhang , Xiaowei Wang , Heng Li , He Zhu , Xiancheng Zhang , Jianming Gong , Shantung Tu
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Abstract

In this work, a novel notch classification approach that considers the notch effects is developed. The classification of notches is implemented based on the stress gradient along the most critical path, defining the stress field diameter that quantifies the localized fatigue damage of the component. Then, a modified field intensity fatigue life prediction model using the developed notch classification is proposed. To evaluate the prediction capability of the proposed method, life predictions for various notch types of Inconel 718, Stainless steel 304 and 316H are carried out. For high temperature low cycle fatigue tests, the proposed model keeps the prediction accuracy of notched components falling within the scatter band of 2 times. Furthermore, the model also demonstrates satisfactory life prediction capabilities for high cycle fatigue. Finally, a scheme for predicting S-N curves of notched specimen is presented and validated.
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基于应力梯度的低、高周疲劳寿命预测缺口分类模型
本文提出了一种考虑缺口效应的缺口分类方法。缺口的分类是基于沿最关键路径的应力梯度实现的,定义了用于量化部件局部疲劳损伤的应力场直径。在此基础上,提出了基于缺口分类的改进的场强疲劳寿命预测模型。为了评估该方法的预测能力,对Inconel 718、不锈钢304和316H等不同缺口类型进行了寿命预测。对于高温低周疲劳试验,该模型使缺口构件的预测精度保持在2倍的散射范围内。此外,该模型对高周疲劳也具有较好的寿命预测能力。最后,提出了一种缺口试件S-N曲线的预测方案,并进行了验证。
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来源期刊
International Journal of Fatigue
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.
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