The fatigue analysis of broad-band Gaussian random processes is discussed, with attention focused on the distribution of rainflow cycles and the fatigue damage under the linear rule. Several spectral methods are reviewed: the narrow-band approximation, the Wirsching–Light formula, Dirlik’s amplitude density, the Zhao–Baker technique, together with an approach recently developed by the authors, as well as a new (completely empirical) method. Analogies and differences amongst all cited methods are emphasised and commented on, such as the dependence existing on particular spectral parameters; general relations amongst bandwidth parameters are given in the Appendix. Numerical simulations are used to judge the accuracy of each method in estimating results from time-domain calculations and an error index is defined to quantify all deviations: the Zhao–Baker, Dirlik’s and the new method are seen to be the most precise approaches, as well as the new empirical method.

Comparison of spectral methods for fatigue analysis in broad-band Gaussian random processes

BENASCIUTTI, Denis;
2006-01-01

Abstract

The fatigue analysis of broad-band Gaussian random processes is discussed, with attention focused on the distribution of rainflow cycles and the fatigue damage under the linear rule. Several spectral methods are reviewed: the narrow-band approximation, the Wirsching–Light formula, Dirlik’s amplitude density, the Zhao–Baker technique, together with an approach recently developed by the authors, as well as a new (completely empirical) method. Analogies and differences amongst all cited methods are emphasised and commented on, such as the dependence existing on particular spectral parameters; general relations amongst bandwidth parameters are given in the Appendix. Numerical simulations are used to judge the accuracy of each method in estimating results from time-domain calculations and an error index is defined to quantify all deviations: the Zhao–Baker, Dirlik’s and the new method are seen to be the most precise approaches, as well as the new empirical method.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/689769
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