Xiao-Min Chen , Bi-Cheng Xiao , Yong-Cheng Lin , Hong-Wei Hu , Dong-Xu Wen , Xiao-Jie Zhou , Jian Zhang , Yi-Liang Shu
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引用次数: 0
Abstract
Notched fatigue tests were conducted at room temperature on three Mg-Y-Zn alloys with varying initial contents of long-period stacking ordered (LPSO) phases. The influence of the notch effect on the fatigue life of these alloys was analyzed. The results indicate that the notch effect significantly reduces the fatigue life of the Mg-Y-Zn alloys, with a higher stress concentration factor correlating to shorter fatigue lives. Under high-stress conditions, the fatigue life of the identical notched specimens decreases as the LPSO phase content increases. Conversely, under low-stress conditions, the fatigue life of the notched specimen tends to increase with rising LPSO phase content. Notably, when compared to parameters such as stress concentration factor, high-stress volume, and relative stress gradient, the relative zero-point parameter provides a more straightforward analytical approach and enables precise notch characterization. A novel zero-point critical distance (ZPCD) model is proposed by incorporating the relative zero-point parameter into the classical TCD framework. Experimental validation demonstrates that the ZPCD model achieves significantly higher prediction accuracy for notch fatigue performance than the traditional TCD method.
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.