Jiayuan Gu , Rui Zhang , Xiaowei Wang , Heng Li , He Zhu , Xiancheng Zhang , Jianming Gong , Shantung Tu
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引用次数: 0
Abstract
In this work, a novel notch classification approach that considers the notch effects is developed. The classification of notches is implemented based on the stress gradient along the most critical path, defining the stress field diameter that quantifies the localized fatigue damage of the component. Then, a modified field intensity fatigue life prediction model using the developed notch classification is proposed. To evaluate the prediction capability of the proposed method, life predictions for various notch types of Inconel 718, Stainless steel 304 and 316H are carried out. For high temperature low cycle fatigue tests, the proposed model keeps the prediction accuracy of notched components falling within the scatter band of 2 times. Furthermore, the model also demonstrates satisfactory life prediction capabilities for high cycle fatigue. Finally, a scheme for predicting S-N curves of notched specimen is presented and validated.
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.