Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/420325
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dc.coverage.spatialCivil Engineering
dc.date.accessioned2022-11-24T10:34:50Z-
dc.date.available2022-11-24T10:34:50Z-
dc.identifier.urihttp://hdl.handle.net/10603/420325-
dc.description.abstractThis thesis aims to develop high fidelity polynomial dimension decomposition schemes for stochastic computation It is achieved in multiple stages using efficient modelling of bases decomposition terms unknown coefficients and error terms Using these improvements this study proposes the following novel schemes 8220 a Two Step Adaptive Response Surface Method RSM b Sequential Stochastic Response Surface Method Seq SRSM c Adaptive Multiple Finite Difference High Dimensional Model R
dc.format.extentNot Available
dc.languageEnglish
dc.relationNot Available
dc.rightsself
dc.titleMulti level dimension decomposition approach for structural reliability analysis
dc.title.alternativeNot available
dc.creator.researcherRathi, Amit Kumar
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Civil
dc.description.noteNot Available
dc.contributor.guideChakraborty, Arunasis
dc.publisher.placeGuwahati
dc.publisher.universityIndian Institute of Technology Guwahati
dc.publisher.institutionDEPARTMENT OF CIVIL ENGINEERING
dc.date.registered2011
dc.date.completed2019
dc.date.awarded2019
dc.format.dimensionsNot Available
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:DEPARTMENT OF CIVIL ENGINEERING

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