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

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Author

Summary, in English

In this paper, anew model for random loads - the Laplace driven moving average - is presented. The model is second order, non-Gaussian, and strictly stationary. It shares with its Gaussian counterpart the ability to model any spectrum but has additional flexibility to model the skewness and kurtosis of the marginal distribution. Unlike most other non-Gaussian models proposed in the literature, such as the transformed Gaussian or Volterra series models, the new model is no longer derivable from Gaussian processes. In the paper, a summary of the properties of the new model is given and its upcrossing intensities are evaluated. Then it is used to estimate fatigue damage both from simulations and in terms of an upper bound that is of particular use for narrowband spectra. (C) 2009 Elsevier Ltd. All rights reserved.

Publishing year

2009

Language

English

Pages

608-617

Publication/Series

Probabilistic Engineering Mechanics

Volume

24

Issue

4

Document type

Journal article

Publisher

Elsevier

Topic

  • Probability Theory and Statistics

Keywords

  • Non-Gaussian process
  • Moving average
  • Rice's formula
  • Spectral density
  • Fatigue damage
  • Laplace distribution

Status

Published

ISBN/ISSN/Other

  • ISSN: 0266-8920