A fatigue life prediction approach to surface and interior inclusion induced high cycle and very-high cycle fatigue for bainite/martensite multiphase steel
Yusong Fan , Guhui Gao , Xiang Xu , Rong Liu , Fengming Zhang , Xiaolu Gui
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引用次数: 0
Abstract
In this study, the relationship between fatigue life and the feature parameters of fatigue fracture surfaces was statistically analyzed to successfully develop a new fatigue life prediction approach. Results showed that the inclusion location was an important parameter affecting fatigue life besides stress amplitude, inclusion size and material hardness. A new stress concentration influence factor associated with the effective depth of inclusions was defined to make fatigue strength and fatigue life prediction models more reliable. The newly proposed fatigue life prediction model could uniformly predict inclusion-induced high cycle and very-high cycle fatigue life, needless to classify surface or interior inclusion. Furthermore, this approach also demonstrated strong capability in predicting fatigue strength.
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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