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Service loadings in structures and mechanical components can be
modelled as random processes. The durability assessment under such
complex loadings is commonly approached in time-domain by using
counting methods and damage accumulation rules. An alternative
approach could be developed in frequency-domain, where the random
loading is characterised by its power spectral density. This book
aims to provide an overview on methods for fatigue analysis of
random loadings, with particular focus on frequency-domain
approach. Classical time-domain load characterisation, counting
methods and linear damage rule are first reviewed. Then,
frequency-domain spectral methods for analysis of stationary random
loadings are discussed, with particular emphasis on Gaussian and
non-Gaussian load analysis. Application examples are also
developed, with both numerical simulations and experimental load
measurements. A general comparison of spectral methods is finally
presented. This book should help to shed some light on the
frequency-domain fatigue analysis of random loadings and it should
be especially useful for researcher working in the field of
structural and durability assessment under service loadings
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