Inverse reliability problem solved by artificial neural networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F13%3APU109064" target="_blank" >RIV/00216305:26110/13:PU109064 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Inverse reliability problem solved by artificial neural networks
Original language description
An efficient inverse reliability analysis method is proposed to obtain design parameters in order to achieve the prescribed reliability level. The inverse analysis method is based on the coupling of an artificial neural network and a small-sample simulation method of the Monte Carlo type used for efficient stochastic preparation of the training set utilized in artificial neural network training. The calculation of reliability is performed using the first order reliability method. The validity and efficiency of the approach is shown using numerical examples taken from the literature as well as from civil engineering computational mechanics for both single and multiple design parameters and single and multiple reliability constraints.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures
ISBN
978-1-138-00086-5
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
5303-5310
Publisher name
Neuveden
Place of publication
New York, USA
Event location
New York
Event date
Jun 16, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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