A statistic fatigue life assessment procedure is presented in this paper for estimating fatigue damage under stationary Gaussian multi-axial loadings with narrow-band frequency. The fatigue damage is determined by using the Miner-Palmgren rule in connection with a recently developed path-length based multi-axial cycle counting and fatigue life assessment method. In this procedure, the path length is determined by averaging sinusoidal waves with uniformly distributed phase angles while the cycles are estimated from the observation of peak counting results of stress components. Numerically simulated random loading paths with different degrees of non-proportionality are used here to compare the proposed statistical method with its time domain counterpart. Possible further improvement in this research direction is also indicated.
Path-Length Based Statistical Analysis of Random Multi-Axial Fatigue Loading Histories
Sae Technical Papers
SAE 2011 World Congress & Exhibition ; 2011
2011-04-12
Aufsatz (Konferenz)
Englisch
Path-Length Based Statistical Analysis of Random Multi-Axial Fatigue Loading Histories
British Library Conference Proceedings | 2011
|Modelling of random vehicle loading histories for fatigue analysis
Online Contents | 1994
|Modelling of random vehicle loading histories for fatigue analysis
Kraftfahrwesen | 1994
|Multi-axial random fatigue load modeling
Tema Archiv | 1998
|A study on multi-axial loading for computational fatigue analysis
Kraftfahrwesen | 1997
|