Fatigue Damage Modeling Approach Based on Evolutionary Power Spectrum Density 2019-01-0524
Fatigue damage prediction approaches in both time and frequency domains have been developed to simulate the operational life of mechanical structures under random loads. Fatigue assessment of mechanical structures and components subjected to random loads is increasingly being addressed by frequency domain approaches because of time and cost savings. Current frequency-based fatigue prediction methods focus on stationary random loadings (stationary Power Spectral Density), but many machine components, such as jet engines, rotating machines, and tracked vehicles are subjected to non-stationary PSD conditions under real service loadings. This paper describes a new fatigue damage modeling approach capable of predicting fatigue damage for structures subjected to non-stationary PSD loading conditions where PSD frequency content is time varying. This proposed modeling approach provides a new modeling framework for the fatigue damage estimation of engineering components subjected to non-stationary (evolutionary) PSD loading conditions. The underlying concept of the proposed approach is that the evolutionary response PSDs of a structure can be decomposed into a finite number of narrow frequency bands where they are associated with a Rayleigh distribution. Fatigue damage is estimated by summing up damages for each individual band on the basis of an appropriate damage accumulation rule. The proposed modeling approach is numerically validated by a finite element method using three simplified structures made of 5052-H32 aluminum alloy. The modeling approach is more efficient, better simulates real environmental random loadings and provide more accurate fatigue life predictions. The proposed approach can be easily adapted to optimize design of many structural components.