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dc.contributor.author
Moustapha, Maliki
dc.contributor.author
Sudret, Bruno
dc.contributor.editor
Song, Junho
dc.date.accessioned
2020-01-28T10:42:48Z
dc.date.available
2020-01-28T10:04:46Z
dc.date.available
2020-01-28T10:42:48Z
dc.date.issued
2019-05
dc.identifier.other
10.22725/ICASP13.054
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/394746
dc.identifier.doi
10.3929/ethz-b-000394746
dc.description.abstract
Reliability-based design optimization (RBDO) is an active field of research that combines reliability analysis and optimization techniques. The early RBDO techniques were limited in applications because of the approximation techniques (FORM) used in the reliability part. More sophisticated techniques that rely on simulations were not of practical interest until the recent introduction of surrogate modeling to the field of structural reliability. Many approaches that couple surrogate modeling, simulation-based reliability analysis and optimization for the solution of RBDO problems have been recently developed. This paper proposes a global and unified framework for surrogate-assisted RBDO that allows for the solution of various types of RBDO formulations. This framework is built using three distinct and independent blocks which are coupled non-intrusively. To enhance the overall efficiency, the surrogate models are built adaptively in a single augmented space prior to starting optimization. The proposed framework is illustrated using different techniques in each of the three blocks.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Seoul National University
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Uncertainty quantification
en_US
dc.subject
RBDO
en_US
dc.subject
Reliability-based design optimization
en_US
dc.subject
Surrogate models
en_US
dc.title
A unified framework for two-level reliability-based design optimization using metamodels
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2019-05-26
ethz.book.title
ICASP13 Proceedings
en_US
ethz.size
8 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13 2019)
en_US
ethz.event.location
Seoul, South Korea
en_US
ethz.event.date
May 26-30, 2019
en_US
ethz.publication.place
Seoul
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02605 - Institut für Baustatik u. Konstruktion / Institute of Structural Engineering::03962 - Sudret, Bruno / Sudret, Bruno
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02605 - Institut für Baustatik u. Konstruktion / Institute of Structural Engineering::03962 - Sudret, Bruno / Sudret, Bruno
en_US
ethz.date.deposited
2020-01-28T10:04:54Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-01-28T10:43:00Z
ethz.rosetta.lastUpdated
2021-02-15T07:42:21Z
ethz.rosetta.versionExported
true
ethz.COinS
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