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Iowa State University

Moment matching technique for fast and robust uncertainty quantifications of complex systems

Abstract

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>

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
thesis
Discipline thesis:degree_discipline
Civil Engineering
Department dc:contributor.department
Department of Civil, Construction and Environmental Engineering
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Teng, Ya-Lu
Advisor dc:contributor.advisor
  • In Ho Cho

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Identifier
archive/lib.dr.iastate.edu/etd/16887/
OAI identifier oai:identifier
oai:dr.lib.iastate.edu:20.500.12876/31070

Chain of custody

source
Harvested from
Iowa State University
Base URL
dr.lib.iastate.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Teng, Ya-Lu. Moment matching technique for fast and robust uncertainty quantifications of complex systems. thesis thesis, 2018. https://dr.lib.iastate.edu/handle/20.500.12876/31070