考虑凹坑特征的腐蚀钢板疲劳裂纹扩展寿命预测模型

IF 5.7 2区 材料科学 Q1 ENGINEERING, MECHANICAL
Jiebin Wu , Shanhua Xu , Anbang Li , Bin Wang , Youde Wang
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引用次数: 0

摘要

点蚀会显著增加应力集中,从而加速凹坑底部疲劳裂纹的产生和扩展。本研究通过引入裂纹扩展比(γa 和 γc)来量化凹坑尺寸与疲劳裂纹发展之间的关系。采用一系列有限元模型,评估了凹坑特征对裂纹尖端应力强度因子 (K) 的影响。在这些评估的基础上,提出了计算 K 值的公式。此外,还利用帕里斯方程开发了一个适用于部分贯穿和完全贯穿的两阶段疲劳寿命预测模型。结果表明,凹坑会严重影响部分贯穿时的 K 值。具体来说,当 γa 接近零时,K 值接近零;当 γa 接近一时,它与半椭圆表面裂纹的 K 值一致。相反,在完全贯通阶段,凹坑对 K 值的影响可以忽略不计,K 值可根据具有中心贯通裂纹的板计算。实验验证证实,该模型的预测误差一般保持在 10%以内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction model of fatigue crack propagation life of corroded steel plate considering pit characteristics

Pitting corrosion notably increases stress concentration, thus accelerating fatigue crack initiation and propagation at the pit base. This research quantifies the relationship between pit dimensions and fatigue crack development by introducing crack extension ratios (γa​ and γc)​. Employing a series of finite element models, the influence of pit characteristics on the stress intensity factor (K) at the crack tip is assessed. Based on these assessments, a formula for computing the K-value is proposed. Furthermore, a two-stage fatigue life prediction model for both partial and complete penetration is developed using the Paris equation. Results indicate that pits substantially affect the K-value during partial penetration. Specifically, as γa approaches zero, the K-value approaches zero, and as γa approaches one, it aligns with the K-value of a semi-elliptical surface crack. Conversely, in the complete penetration phase, the influence of the pit on the K-value is negligible, and the K-value can be calculated according to the plate with a central penetrating crack. Experimental validation confirms that the model generally maintains a prediction error within 10%.

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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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