Abstract
Theoretical models are presented for estimating fatigue damage under stationary Gaussian processes with well-separated bimodal spectral density functions, which are the combinations of a low frequency Gaussian component and a high frequency one, and non-stationary Gaussian processes which are the combinations of a low frequency stationary Gaussian process and high frequency transient processes. The fatigue damage is determined by using the Miner-Palmgren rule in connection with the rainflow counting method. The theoretical developments are compared with results from extensive Monte Carlo simulations and cycle counting by the rainflow counting method. The agreement is satisfactory.
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