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dc.contributor.advisor Lutes, Loren D.
dc.creatorHu, Sau-Lon James
dc.date.accessioned 2018-12-18T21:23:47Z
dc.date.available 2018-12-18T21:23:47Z
dc.date.issued 1982
dc.identifier.urihttps://hdl.handle.net/1911/104476
dc.description.abstract The basic goal of this study is to determine the relationship between the fatigue damage predicted for Gaussian and nongaussian processes when both are analyzed by the rainflow counting method. Due to a lack of references on nongaussian process simulation, some initial effort is devoted to finding a simple way of generating nongaussian processes. In this study, in addition to mean and variance (the usual two parameters of a normal distribution), kurtosis is chosen as a third parameter to indicate the degree of non-normality. A theoretical prediction of the fatigue damage due to a nongaussian process is also obtained for the special situation of a narrow-band process with the exponent in the S-N curve limited to integer values. The effect of non-normality on the empirical rainflow results (for any bandwidth process) is shown to be approximately the same as the effect predicted theoretically for the corresponding narrow-band process. A practical example associated with the fatigue life design of an offshore platform is given. It incorporates non-normality considerations into the design procedure. It is concluded that the effect of non-normality should not be neglected. It is also noted that the influence of nonnormality is affected not only by the kurtosis of the stress process, but also by the slope of the S-N curve (which is a material property).
dc.format.extent 82 pp
dc.language.iso eng
dc.title Fatigue analysis for non-normal stochastic stress
dc.identifier.digital RICE2111
dc.contributor.committeeMember Merwin, John E.;Pharr, George M.
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Civil Engineering
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Arts
dc.format.digitalOrigin reformatted digital
dc.identifier.callno THESIS C.E. 1982 HU
dc.identifier.citation Hu, Sau-Lon James. "Fatigue analysis for non-normal stochastic stress." (1982) Master’s Thesis, Rice University. https://hdl.handle.net/1911/104476.


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