About: Inverse reliability problem solved by artificial neural networks

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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. 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. (en)
Title	Inverse reliability problem solved by artificial neural networks Inverse reliability problem solved by artificial neural networks (en)
skos:prefLabel	Inverse reliability problem solved by artificial neural networks Inverse reliability problem solved by artificial neural networks (en)
skos:notation	RIV/00216305:26110/13:PU109064!RIV15-TA0-26110___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GAP105/11/1385), P(TA01011019)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Lehký, David Novák, Drahomír
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta stavební
http://linked.open...dnocenehoVysledku	81054
http://linked.open...ai/riv/idVysledku	RIV/00216305:26110/13:PU109064
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Design parameters, First order reliability methods, Inverse analysis methods, Inverse reliability analysis, Inverse reliability problem, Multiple reliability constraints, Reliability level, Training sets (en)
http://linked.open.../riv/klicoveSlovo	Design parameters First order reliability methods Inverse analysis methods Multiple reliability constraints Reliability level Training sets Inverse reliability problem Inverse reliability analysis
http://linked.open...ontrolniKodProRIV	[39AE52866F11]
http://linked.open...v/mistoKonaniAkce	New York
http://linked.open...i/riv/mistoVydani	New York, USA
http://linked.open...i/riv/nazevZdroje	Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures
http://linked.open...in/vavai/riv/obor	JM
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Inverse structural reliability problems Simulation software tools for virtual reliability testing and lifetime ananlysis of concrete structures
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Lehký, David Novák, Drahomír
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-06-16 (xsd:date)
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-1-138-00086-5
http://localhost/t...ganizacniJednotka	26110

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