Mean strain effect on low-cycle fatigue of AISI 304 austenitic stainless steel under non-proportional random loading: Experiments and life evaluation methods
Yu-Chen Wang, Le Xu, Lei He, Shoto Yoshikawa, Keisuke Yamashita, Shan-Tung Tu, Takamoto Itoh
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引用次数: 0
Abstract
The mean strain effect on AISI 304 stainless steel was examined through strain-controlled low-cycle fatigue tests under uniaxial and non-proportional random loading. Under uniaxial loading, cyclic stress responses showed initial hardening followed by continuous softening, typical of austenitic stainless steel. In contrast, non-proportional loading resulted in consistent hardening. Mean strain primarily influenced fatigue life by altering the stress range: a reduced stress range generally led to extended life. Mean stress relaxation was observed and analyzed under various mean strains. An improved Itoh–Sakane (IS) method was developed, incorporating the calculation of mean strain coordinates and a new coordinate system. This enhancement allows accurate calculation of principal strain and stress under mean strain conditions, significantly improving life evaluation accuracy, with results typically within a factor of 2. Based on this, a new life evaluation method was established, applicable to strain-based models and their modifications, as well as energy-based models. The advantages and disadvantages of different models were compared.
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.