Frequency Domain Fatigue Assessment of Vehicle Component under Random Load Spectrum

This research is focused on the application of frequency domain based fatigue life predict methods on vehicle component. The basic theory of these approaches is based on the frequency-based signals, the probability density function (PDF) of signals and Miner cumulative damage criterion. A typical suspension virtual prototype model is established to derive dynamic loading arisen from random road exciting. Several kinds of fatigue life predicting approaches in frequency domain are applied and compared. The influence factors for these methods, such as PSD average methods, frequency ranges and frequency intervals are also discussed. Appropriate results can be obtained at last.