Insertion of high-R cycles into random load spectra as fractographic markers

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue Pub Date : 2025-04-12 DOI:10.1016/j.ijfatigue.2025.109001

Jinyu Wang, Xiaofan He, Linwei Dang, Tianchi Li

引用次数: 0

Abstract

A realistic and complete reproduction of the three-dimensional crack tip morphology and propagation process is of significant theoretical and practical importance for studying the fatigue issues of materials and components under cyclic loading. To this end, a marker load method for random spectra is proposed. This method, as a quantitative fractography approach, marks the crack tip in three dimensions by inserting high loads with constant amplitude cycles into a load spectrum consisting of variable amplitude loads. Based on the random spectrum crack growth simulation method, a scientific approach to determining the marker loads parameters is provided. Fatigue tests were conducted on 7050, 2024 aluminum alloy, Ti-6Al-4 V titanium alloy and 14Cr1MoR steel, resulting in clear, interpretable, and damage-minimized mark lines, which verified the effectiveness of the proposed method.

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在随机载荷谱中插入高r周期作为断口学标记

真实完整地再现三维裂纹尖端形态和扩展过程，对于研究材料和构件在循环载荷作用下的疲劳问题具有重要的理论和实际意义。为此，提出了一种随机谱的标记载荷方法。该方法作为一种定量断口学方法，通过将具有恒定振幅循环的高载荷插入到由可变振幅载荷组成的载荷谱中，在三维空间中标记裂纹尖端。基于随机谱裂纹扩展模拟方法，为确定标记载荷参数提供了一种科学的方法。对7050、2024铝合金、ti - 6al - 4v钛合金和14Cr1MoR钢进行了疲劳试验，得到了清晰、可解释、损伤最小的标记线，验证了该方法的有效性。

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.