Moment matching technique for fast and robust uncertainty quantifications of complex systems
dc.contributor.advisor | In Ho Cho | |
dc.contributor.author | Teng, Ya-Lu | |
dc.contributor.department | Department of Civil, Construction and Environmental Engineering | |
dc.date | 2019-03-26T18:26:15.000 | |
dc.date.accessioned | 2020-06-30T03:14:20Z | |
dc.date.available | 2020-06-30T03:14:20Z | |
dc.date.copyright | Sat Dec 01 00:00:00 UTC 2018 | |
dc.date.embargo | 2001-01-01 | |
dc.date.issued | 2018-01-01 | |
dc.description.abstract | <p>Despite the growing popularity of reinforced concrete (RC) core walls, robust uncertainty quantification of their global and local performances remains an intractable challenge. A combination of a random sampling technique in conjunction with a simplified structural analysis has been widely used, but substantial ambiguity remains in the simulation accuracy and the resultant uncertainties. As a fast and robust alternative, this study suggests a moment matching (MM) technique. MM can dramatically reduce required sample points to only a few, which enables a direct use of a high-precision parallel multiscale finite element analysis (PM-FEA) for uncertainty quantification. This study demonstrates how to apply the combination of MM and PM-FEA to quantify uncertainties behind complex RC core walls, notably in terms of global force-resisting capacity and microscopic progressive bar buckling of five U-shaped walls. Results suggest that the combination of MM and PM-FEA will serve as a promising method to improve our understanding of uncertainties behind complex RC structure.</p> | |
dc.format.mimetype | application/pdf | |
dc.identifier | archive/lib.dr.iastate.edu/etd/16887/ | |
dc.identifier.articleid | 7894 | |
dc.identifier.contextkey | 14007540 | |
dc.identifier.s3bucket | isulib-bepress-aws-west | |
dc.identifier.submissionpath | etd/16887 | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/31070 | |
dc.language.iso | en | |
dc.source.bitstream | archive/lib.dr.iastate.edu/etd/16887/Teng_iastate_0097M_17670.pdf|||Fri Jan 14 21:07:22 UTC 2022 | |
dc.subject.disciplines | Civil Engineering | |
dc.title | Moment matching technique for fast and robust uncertainty quantifications of complex systems | |
dc.type | thesis | en_US |
dc.type.genre | thesis | en_US |
dspace.entity.type | Publication | |
relation.isOrgUnitOfPublication | 933e9c94-323c-4da9-9e8e-861692825f91 | |
thesis.degree.discipline | Civil Engineering | |
thesis.degree.level | thesis | |
thesis.degree.name | Master of Science |
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