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dc.contributor.authorEsteban, Jaimeen
dc.date.accessioned2014-03-14T21:32:26Zen
dc.date.available2014-03-14T21:32:26Zen
dc.date.issued1992-12-01en
dc.identifier.otheretd-03302010-020045en
dc.identifier.urihttp://hdl.handle.net/10919/41801en
dc.description.abstractIn this study, a method is developed to solve general stochastic programming problems. The method is applicable to both linear and nonlinear optimization. Based on a proper linearization, a set of probabilistic constraints (performance functions) can be transformed into a corresponding set of deterministic constraints. this is accomplish by expanding all the constraints about the most probable failure point. The use of the proposed method allows the simplification of any stochastic programming problems into a standard linear programming problem. Numerical examples are applied to the area of probability- based optimum structural design.en
dc.format.extentvii, 60 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.isformatofOCLC# 28130629en
dc.relation.haspartLD5655.V855_1992.E8735.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1992.E8735en
dc.subject.lcshMathematical optimizationen
dc.subject.lcshStructural optimizationen
dc.titleA reliability-based method for optimization programming problemsen
dc.typeThesisen
dc.contributor.departmentEngineering Mechanicsen
dc.description.degreeMaster of Scienceen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelmastersen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplineEngineering Mechanicsen
dc.contributor.committeechairThangjitham, Suroten
dc.contributor.committeememberHeller, Robert A.en
dc.contributor.committeememberMorton, Johnen
dc.type.dcmitypeTexten
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-03302010-020045/en
dc.date.sdate2010-03-30en
dc.date.rdate2010-03-30en
dc.date.adate2010-03-30en


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