dc.contributor.author |
Papadrakakis, M |
en |
dc.contributor.author |
Lagaros, N |
en |
dc.contributor.author |
Plevris, V |
en |
dc.date.accessioned |
2014-03-01T01:53:30Z |
|
dc.date.available |
2014-03-01T01:53:30Z |
|
dc.date.issued |
2004 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/27054 |
|
dc.subject |
Evolution Strategy |
en |
dc.subject |
Large Scale Structure |
en |
dc.subject |
Modulus of Elasticity |
en |
dc.subject |
Monte Carlo Simulation |
en |
dc.subject |
multi-criteria optimization |
en |
dc.subject |
Optimization Problem |
en |
dc.subject |
Probabilistic System |
en |
dc.subject |
Random Variable |
en |
dc.subject |
Reliability Analysis |
en |
dc.subject |
Robust Design |
en |
dc.subject |
Structure Optimization |
en |
dc.subject |
Uncertain Variable |
en |
dc.subject |
Yield Stress |
en |
dc.subject |
Neural Network |
en |
dc.subject |
Reliability Based Design Optimization |
en |
dc.subject |
Robust Design Optimization |
en |
dc.title |
Structural optimization considering the probabilistic system response |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.2298/TAM0404361P |
en |
heal.identifier.secondary |
http://dx.doi.org/10.2298/TAM0404361P |
en |
heal.publicationDate |
2004 |
en |
heal.abstract |
In engineering problems, the randomness and uncertainties are inherent and the scatter of structural parameters from their nominal ideal values is unavoidable. In the case of Reliability Based Design Optimization (RBDO) and Robust Design Optimization (RDO) the uncertainties play a dominant role in the structural optimization problem. In an RBDO problem additional non deterministic constraint functions are considered while RDO |
en |
heal.journalName |
Theoretical and Applied Mechanics |
en |
dc.identifier.doi |
10.2298/TAM0404361P |
en |