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Statements

Subject Item
n2:RIV%2F00216305%3A26110%2F12%3APU102922%21RIV13-MSM-26110___
rdf:type
n5:Vysledek skos:Concept
dcterms:description
This paper contributes to the structural reliability problem by presenting a novel approach that enables for identification of stochastic oscillatory processes as a critical input for given mechanical models. Identification development follows a transparent image processing paradigm completely independent of state-of-the-art structural dynamics, aiming at delivering a simple and wide purpose method. Validation of the proposed importance sampling strategy is based on multi-scale cluster of realizations of digitally generated non-stationary stochastic processes. Good agreement with the reference pure Monte Carlo results indicates a significant potential in reducing the computational task of first passage probabilities estimation, an important feature in the field of e.g. probabilistic seismic design or risk assessment generally. This paper contributes to the structural reliability problem by presenting a novel approach that enables for identification of stochastic oscillatory processes as a critical input for given mechanical models. Identification development follows a transparent image processing paradigm completely independent of state-of-the-art structural dynamics, aiming at delivering a simple and wide purpose method. Validation of the proposed importance sampling strategy is based on multi-scale cluster of realizations of digitally generated non-stationary stochastic processes. Good agreement with the reference pure Monte Carlo results indicates a significant potential in reducing the computational task of first passage probabilities estimation, an important feature in the field of e.g. probabilistic seismic design or risk assessment generally. This paper contributes to the structural reliability problem by presenting a novel approach that enables for identification of stochastic oscillatory processes as a critical input for given mechanical models. Identification development follows a transparent image processing paradigm completely independent of state-of-the-art structural dynamics, aiming at delivering a simple and wide purpose method. Validation of the proposed importance sampling strategy is based on multi-scale cluster of realizations of digitally generated non-stationary stochastic processes. Good agreement with the reference pure Monte Carlo results indicates a significant potential in reducing the computational task of first passage probabilities estimation, an important feature in the field of e.g. probabilistic seismic design or risk assessment generally.
dcterms:title
Importance sampling strategy for oscillatory stochastic processes Importance sampling strategy for oscillatory stochastic processes Importance sampling strategy for oscillatory stochastic processes
skos:prefLabel
Importance sampling strategy for oscillatory stochastic processes Importance sampling strategy for oscillatory stochastic processes Importance sampling strategy for oscillatory stochastic processes
skos:notation
RIV/00216305:26110/12:PU102922!RIV13-MSM-26110___
n5:predkladatel
n6:orjk%3A26110
n3:aktivita
n11:I
n3:aktivity
I
n3:dodaniDat
n17:2013
n3:domaciTvurceVysledku
n18:2026929
n3:druhVysledku
n4:D
n3:duvernostUdaju
n15:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
140894
n3:idVysledku
RIV/00216305:26110/12:PU102922
n3:jazykVysledku
n20:cze
n3:klicovaSlova
Stochastic process, Critical excitation, Reliability analysis, Importance sampling, Image processing, Pattern recognition, Identification problem
n3:klicoveSlovo
n9:Stochastic%20process n9:Importance%20sampling n9:Image%20processing n9:Critical%20excitation n9:Identification%20problem n9:Reliability%20analysis n9:Pattern%20recognition
n3:kontrolniKodProRIV
[50DE7823F593]
n3:mistoKonaniAkce
Brno
n3:mistoVydani
Brno, Česká republika
n3:nazevZdroje
REC 2012
n3:obor
n21:JM
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:rokUplatneniVysledku
n17:2012
n3:tvurceVysledku
Podroužek, Jan
n3:typAkce
n12:WRD
n3:zahajeniAkce
2012-06-13+02:00
s:numberOfPages
10
n16:hasPublisher
Ing. Vladislav Pokorný - LITERA
n19:isbn
978-80-214-4507-9
n13:organizacniJednotka
26110