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Statements

Subject Item
n2:RIV%2F68407700%3A21110%2F14%3A00217846%21RIV15-MSM-21110___
rdf:type
n7:Vysledek skos:Concept
dcterms:description
Meta-models (or surrogate models, formerly response surfaces) are getting popular in engineering designs. They are used to simulate the behaviour of structures with less computational demands than the original model (e.g. finite element models). It is still necessary to evaluate this expensive original model few times in some specified points called Design of Experiments (DoE). The first DoE is usually just space-filling to cover up the whole design space and the meta-model built with an initial DoE is therefore not very accurate everywhere. Other points are added to the meta-model to improve accuracy at important regions. In this paper, various updates of meta-models are reviewed from different points of view. Unfortunately, there is a distinction between updates even in reliability assessment and reliability-based design optimization research areas. Meta-models (or surrogate models, formerly response surfaces) are getting popular in engineering designs. They are used to simulate the behaviour of structures with less computational demands than the original model (e.g. finite element models). It is still necessary to evaluate this expensive original model few times in some specified points called Design of Experiments (DoE). The first DoE is usually just space-filling to cover up the whole design space and the meta-model built with an initial DoE is therefore not very accurate everywhere. Other points are added to the meta-model to improve accuracy at important regions. In this paper, various updates of meta-models are reviewed from different points of view. Unfortunately, there is a distinction between updates even in reliability assessment and reliability-based design optimization research areas.
dcterms:title
Adaptive update of surrogate models for reliability-based design optimization: A review Adaptive update of surrogate models for reliability-based design optimization: A review
skos:prefLabel
Adaptive update of surrogate models for reliability-based design optimization: A review Adaptive update of surrogate models for reliability-based design optimization: A review
skos:notation
RIV/68407700:21110/14:00217846!RIV15-MSM-21110___
n3:aktivita
n5:S n5:P
n3:aktivity
P(GAP105/12/1146), S
n3:dodaniDat
n18:2015
n3:domaciTvurceVysledku
n11:9081429 n11:1476602
n3:druhVysledku
n15:D
n3:duvernostUdaju
n21:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
1610
n3:idVysledku
RIV/68407700:21110/14:00217846
n3:jazykVysledku
n9:eng
n3:klicovaSlova
Surrogate models; Adaptive update; Reliability-based design optimization; Design of Experiments
n3:klicoveSlovo
n6:Design%20of%20Experiments n6:Adaptive%20update n6:Surrogate%20models n6:Reliability-based%20design%20optimization
n3:kontrolniKodProRIV
[51D2580003C9]
n3:mistoKonaniAkce
Svratka
n3:mistoVydani
Brno
n3:nazevZdroje
20 th International Conference Engineering Mechanics 2014
n3:obor
n19:JD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n10:GAP105%2F12%2F1146
n3:rokUplatneniVysledku
n18:2014
n3:tvurceVysledku
Pospíšilová, Adéla Lepš, Matěj
n3:typAkce
n4:EUR
n3:zahajeniAkce
2014-05-12+02:00
s:issn
1805-8248
s:numberOfPages
4
n17:hasPublisher
Vysoké učení technické v Brně
n8:isbn
978-80-214-4871-1
n16:organizacniJednotka
21110