Stochastic stress history simulation for fatigue analysis

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dc.contributor.advisorLutes, Loren D.en_US
dc.contributor.committeeMemberMerwin, John E.en_US
dc.contributor.committeeMemberBourland, Hardy M.en_US
dc.contributor.committeeMemberPharr, George M.en_US
dc.creatorZimmerman, James J.en_US
dc.date.accessioned2018-12-18T21:21:02Zen_US
dc.date.available2018-12-18T21:21:02Zen_US
dc.date.issued1983en_US
dc.description.abstractThe basic goal of this study is to find an alternate, more efficient method of simulating stochastic stress histories for fatigue analysis. Stress histories are generated from power spectral densities made up of either one or two rectangular blocks. The currently popular simulation technique produces a normal signal by summing sine waves with random phase angles. The fatigue damage predicted from stress histories simulated by this method is used as the basis of comparison for three other techniques. Two techniques which simulate correlated, Rayleigh distributed peaks and valleys are investigated. Another technique produces correlated peaks which have S. O. Rice's peak distribution. The rainflow method of cycle counting is used to determine the stress ranges from all the stress histories and Miner's rule is used to predict fatigue damage. It is concluded that fatigue damage from processes having single block power spectral densities can be efficiently and accurately predicted from a sequence of correlated peaks which have the peak distribution. This technique is three to four times faster than the currently popular technique. Simulation techniques which generate Rayleigh distributed peaks are found to be overly conservative in their prediction of fatigue damage. None of the three techniques investigated can be used for simulation of processes with two block power spectral densities. It is also concluded that a stress process cannot be sufficiently characterized solely by the spectral width parameter for fatigue damage predictions.en_US
dc.format.digitalOriginreformatted digitalen_US
dc.format.extent98 ppen_US
dc.identifier.callnoTHESIS C.E. 1983 ZIMMERMANen_US
dc.identifier.citationZimmerman, James J.. "Stochastic stress history simulation for fatigue analysis." (1983) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/104328">https://hdl.handle.net/1911/104328</a>.en_US
dc.identifier.digitalRICE1960en_US
dc.identifier.urihttps://hdl.handle.net/1911/104328en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.titleStochastic stress history simulation for fatigue analysisen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentChemical and Biomolecular Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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