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Statements

Subject Item
n2:RIV%2F00216305%3A26110%2F08%3APU80166%21RIV10-GA0-26110___
rdf:type
skos:Concept n16:Vysledek
dcterms:description
A practical framework for generating cross correlated fields with a specified marginal distribution function, an autocorrelation function and cross correlation coefficients is presented in the paper. The approach relies on well known series expansion methods for simulation of a Gaussian random field. The proposed method requires all cross correlated fields over the domain to share an identical autocorrelation function and the cross correlation structure between each pair of simulated fields to be simply defined by a cross correlation coefficient. Such relations result in specific properties of eigenvectors of covariance matrices of discretized field over the domain. These properties are used to decompose the eigenproblem which must normally be solved in computing the series expansion into two smaller eigenproblems. Such a decomposition represents a significant reduction of computational effort. Non-Gaussian components of a multivariate random field are proposed to be simulated via memoryless transfor A practical framework for generating cross correlated fields with a specified marginal distribution function, an autocorrelation function and cross correlation coefficients is presented in the paper. The approach relies on well known series expansion methods for simulation of a Gaussian random field. The proposed method requires all cross correlated fields over the domain to share an identical autocorrelation function and the cross correlation structure between each pair of simulated fields to be simply defined by a cross correlation coefficient. Such relations result in specific properties of eigenvectors of covariance matrices of discretized field over the domain. These properties are used to decompose the eigenproblem which must normally be solved in computing the series expansion into two smaller eigenproblems. Such a decomposition represents a significant reduction of computational effort. Non-Gaussian components of a multivariate random field are proposed to be simulated via memoryless transfor
dcterms:title
Simulation of simply cross correlated random fields bz series expansion methods Simulation of simply cross correlated random fields bz series expansion methods
skos:prefLabel
Simulation of simply cross correlated random fields bz series expansion methods Simulation of simply cross correlated random fields bz series expansion methods
skos:notation
RIV/00216305:26110/08:PU80166!RIV10-GA0-26110___
n3:aktivita
n8:P
n3:aktivity
P(GP103/06/P086)
n3:cisloPeriodika
4
n3:dodaniDat
n4:2010
n3:domaciTvurceVysledku
n15:1352687
n3:druhVysledku
n11:J
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
394884
n3:idVysledku
RIV/00216305:26110/08:PU80166
n3:jazykVysledku
n13:eng
n3:klicovaSlova
Simulation, random fields, method, expansion methods
n3:klicoveSlovo
n10:expansion%20methods n10:method n10:Simulation n10:random%20fields
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[C6B1F8445410]
n3:nazevZdroje
Structural Safety
n3:obor
n7:JM
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:projekt
n12:GP103%2F06%2FP086
n3:rokUplatneniVysledku
n4:2008
n3:svazekPeriodika
30
n3:tvurceVysledku
Vořechovský, Miroslav
s:issn
0167-4730
s:numberOfPages
29
n18:organizacniJednotka
26110