Stochastic fatigue damage accumulation under broadband loadings

Fatigue damage assessment for a spectral model of non-Gaussian random loads

“…The extended process can then be used to define the moving average (3). Since the increments of the Laplace motion are allowed to have an asymmetric distribution (µ = 0) it turns out that also the corresponding moving average process will have a nonsymmetric marginal distribution.…”

“…For mooring lines, for instance, loads often exhibit significant asymmetry having skewness about 0.8, see [1]. A serious consequence of not taking this into account in a fatigue application is that the fatigue life predictions from the model may be far too long, as reported by [2][3][4][5][6]. In order to overcome this problem a lot of effort has been made to find suitable non-Gaussian models.…”

Random fatigue. A new frequency domain criterion for the damage evaluation of mechanical components

“…The evaluation of the fatigue behavior of mechanical systems and components subjected to random loads is increasingly being addressed to the frequency domain environment, both in terms of dynamic analysis [1][2][3][4][5][6] and in terms of results post-processing [7][8][9][10][11][12][13][14][15][16][17][18][19].…”

Reliability analysis and prediction for time to failure distribution of an automobile crankshaft

“…Based on the failure rate distribution function, a statistical regression analysis is performed to determine the estimated values for shape and scale parameter (22) using the Weibull transformation, the following is obtained: (23) where:…”

“…Hence, stochastic modelling method will provide a new perspective in contrast to the conventional deterministic models. The prior model evolves in the direction of more computational mathematical methods based on the Markov process, rather than lengthier Karhunen-Loeve, Weiner integral, and Rayleigh techniques [23,[33][34].…”