Multi-objective Adaptive DoE for RBDO

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F13%3A00209414" target="_blank" >RIV/68407700:21110/13:00209414 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Multi-objective Adaptive DoE for RBDO

Popis výsledku v původním jazyce

Reliability-based design optimization (RBDO) is a research area that tries to optimize structures under assumption of uncertainties. Usually, the objective function is to be minimized with respect to constraints in which the probabilistic approach is included. Our solution utilizes a surrogate-based Monte Carlo approach which is enhanced by an adaptive Design of (Computer) Experiments (DoE). The space-filling properties of the DoE are optimized by maximizing the minimal interpoint distance, i.e. the Maximin approach. The second objective is the distance to the limit sate function. Both objectives are optimized by NSGA II algorithm to obtain maximum information out of the model with a minimal number of sampling points. The meta-model with this adaptiveupdating procedure is also proposed. The studied RBDO problems consist of the minimization of the weight of the structure as the first objective and minimization of the probability of failure as the second objective. The latter is evaluat

Název v anglickém jazyce

Multi-objective Adaptive DoE for RBDO

Popis výsledku anglicky

Reliability-based design optimization (RBDO) is a research area that tries to optimize structures under assumption of uncertainties. Usually, the objective function is to be minimized with respect to constraints in which the probabilistic approach is included. Our solution utilizes a surrogate-based Monte Carlo approach which is enhanced by an adaptive Design of (Computer) Experiments (DoE). The space-filling properties of the DoE are optimized by maximizing the minimal interpoint distance, i.e. the Maximin approach. The second objective is the distance to the limit sate function. Both objectives are optimized by NSGA II algorithm to obtain maximum information out of the model with a minimal number of sampling points. The meta-model with this adaptiveupdating procedure is also proposed. The studied RBDO problems consist of the minimization of the weight of the structure as the first objective and minimization of the probability of failure as the second objective. The latter is evaluat

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

<a href="/cs/project/GAP105%2F12%2F1146" target="_blank" >GAP105/12/1146: Metody paralelizace inženýrských úloh využívající cenově dostupné technologie</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 11th International Probabilistic Workshop

ISBN

978-80-214-4800-1

ISSN

—

e-ISSN

—

Počet stran výsledku

12

Strana od-do

325-336

Název nakladatele

Ing. Vladislav Pokorný - LITERA

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

6. 11. 2013

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

—