Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/420325
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Civil Engineering | |
dc.date.accessioned | 2022-11-24T10:34:50Z | - |
dc.date.available | 2022-11-24T10:34:50Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/420325 | - |
dc.description.abstract | This 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.extent | Not Available | |
dc.language | English | |
dc.relation | Not Available | |
dc.rights | self | |
dc.title | Multi level dimension decomposition approach for structural reliability analysis | |
dc.title.alternative | Not available | |
dc.creator.researcher | Rathi, Amit Kumar | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering Civil | |
dc.description.note | Not Available | |
dc.contributor.guide | Chakraborty, Arunasis | |
dc.publisher.place | Guwahati | |
dc.publisher.university | Indian Institute of Technology Guwahati | |
dc.publisher.institution | DEPARTMENT OF CIVIL ENGINEERING | |
dc.date.registered | 2011 | |
dc.date.completed | 2019 | |
dc.date.awarded | 2019 | |
dc.format.dimensions | Not Available | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | DEPARTMENT OF CIVIL ENGINEERING |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_fulltext.pdf | Attached File | 10.59 MB | Adobe PDF | View/Open |
04_abstract.pdf | 154.13 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 340.53 kB | Adobe PDF | View/Open |
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