2009
DOI: 10.1016/j.ijfatigue.2008.03.007
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The frequency domain approach in virtual fatigue estimation of non-linear systems: The problem of non-Gaussian states of stress

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Cited by 64 publications
(36 citation statements)
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“…Frequency-domain methods are used in different fields, such as structural health monitoring [15], the FEM environment [16], multi-axial fatigue [17] and a non-normal process fatigue evaluation with the use of a correction factor [18].…”
Section: Introductionmentioning
confidence: 99%
“…Frequency-domain methods are used in different fields, such as structural health monitoring [15], the FEM environment [16], multi-axial fatigue [17] and a non-normal process fatigue evaluation with the use of a correction factor [18].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, a kurtosis value of higher than 3.0 indicates the presence of more extreme values than one that should be found in a Gaussian distribution (Abdullah et al, 2006). This situation indicates that the fatigue damage is higher than Gaussian stresses due to higher amplitude fatigue cycles (Braccesi et al, 2009). …”
Section: Global Signal Statistical Parametersmentioning
confidence: 97%
“…To compensate the mean stress effect a procedure proposed by Böhm (2012, 2015) has been used. The non-Gaussianity of a signal has been corrected by the correction factor by Braccesi et al (2009). The fatigue lives estimated on the basis of combination of spectral method and the Dirlik model have been compared with results obtained when the rainflow cycle counting method and experimental data were applied.…”
Section: Introductionmentioning
confidence: 99%