Changyuan Ge, Zhibo Song, Caihua Zhou, Hanqing Guo, Dongmei Zhu, Bo Wang
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引用次数: 0
Abstract
The vibration excitation in extreme environments poses severe challenges to the fatigue life of aviation equipment. Although the accelerated fatigue test applying fatigue damage spectrum (FDS) is effective in predicting the fatigue life of critical components under a real operating environment, the life prediction error for the materials with segmented S-N curves may exceed orders of magnitude. Therefore, an improved FDS considering the segmented S-N curves is proposed, and the segmented integral reconstructed FDS formulas are applied to solve the synthetic spectrum for accelerated fatigue tests. Through substantial simulations and tests of the L-shaped beam under different spectrums and vibration directions, the prediction errors calculated by narrowband and wideband methods are less than 24.3 % and −16.2 %, respectively, better than the traditional FDS with errors up to 748 %. When the 6061-T6 S-N curve is fitted by two straight lines in the double logarithmic coordinate system, the best fitting segmented position is 104.8s with the high accuracy of predicted fatigue life. For uniaxial and multiaxial random vibration, even if the bandwidth characteristics affect the prediction life, the fatigue life predicted by the improved FDS is always within the life region of the different spectral moment synthesis approaches by the wideband 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.