利用高分辨率数字图像相关技术识别 AA2024-T3 疲劳裂纹生长过程中塑性诱发的裂纹闭合

IF 5.7 2区 材料科学 Q1 ENGINEERING, MECHANICAL
Florian Paysan, David Melching, Eric Breitbarth
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引用次数: 0

摘要

韧性材料的疲劳裂纹增长主要是由破坏机制和屏蔽机制之间的相互作用所驱动的。在巴黎机制中,主要的延缓机制是塑性诱导裂纹闭合(PICC)。然而,这种现象背后的一些机制仍不清楚。在实验过程中识别和分离三维方面与其他屏蔽方面是极其复杂的。本文根据二维高分辨率数字图像相关数据和三维有限元模拟中的局部裂缝张开位移测量结果,分析了裂缝张开运动学。结果证实,裂纹开口应力强度因子 Kop 沿裂纹路径不同。我们提出了一种确定裂纹前端 Kop 的新方法,从而确定 PICC 是疲劳裂纹生长实验中的主要屏蔽机制。此外,由于我们发现当裂纹闭合且裂纹表面接触朝向表面时,PICC 对塑性区疲劳破坏的影响仍然可以忽略不计,因此这项研究有助于对 PICC 的减损作用进行讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Plasticity-induced crack closure identification during fatigue crack growth in AA2024-T3 by using high-resolution digital image correlation
Fatigue crack growth in ductile materials is primarily driven by the interaction between damaging and shielding mechanisms. In the Paris regime, the predominant mechanism for retardation is plasticity-induced crack closure (PICC). However, some of the mechanisms behind this phenomenon are still unclear. Identifying and separating the three-dimensional aspect from other shielding aspects during experiments is extremely complex. In this paper, we analyze the crack opening kinematics based on local crack opening displacement measurements in both 2D high-resolution digital image correlation data and 3D finite element simulations. The results confirm that the crack opening stress intensity factor Kop differs along the crack path. we present a new method to determine Kop at the crack front allowing to identify PICC as the predominant shielding mechanism in fatigue crack growth experiments. Furthermore, this work contributes to the discussion on the damage-reducing effect of PICC, since we find that the influence on fatigue damage in the plastic zone remains negligible when the crack is closed and crack surface contact is directed towards the surface.
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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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