Fatigue damage assessment for a spectral model of non-Gaussian random loads
Preprint, 2008

In this paper a new 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.

Rice's formula

spectral density

Laplace distribution

fatigue damage

moving average

non-Gaussian process

Författare

Sofia Åberg

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Matematisk statistik

Krzysztof Podgorski

Igor Rychlik

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Matematisk statistik

Kategorisering

Ämneskategorier (SSIF 2011)

Sannolikhetsteori och statistik

Övrigt

Serie

Preprint - Department of Mathematical Sciences, Chalmers University of Technology and Göteborg University: 2008:14

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Senast uppdaterat

2025-02-24