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Statements

Subject Item
n2:RIV%2F00216305%3A26110%2F12%3APU102242%21RIV13-MPO-26110___
rdf:type
n7:Vysledek skos:Concept
dcterms:description
To improve the efficiency of parametric studies or tests planning the method is proposed, that takes into account all input parameters, but only a few simulation runs are performed to assess the relative importance of each input parameter. For K input parameters with N input values the total number of possible combinations of input values equals NK. To limit the number of runs, only some (totally N) of possible combinations are taken into account. The sampling procedure Updated Latin Hypercube Sampling is used to choose the optimal combinations. To measure the relative importance of each input parameter, the Spearman rank correlation coefficient is proposed. The sensitivity and the influence of all parameters are analyzed within one procedure and the key parameters with the largest influence are immediately identified. To improve the efficiency of parametric studies or tests planning the method is proposed, that takes into account all input parameters, but only a few simulation runs are performed to assess the relative importance of each input parameter. For K input parameters with N input values the total number of possible combinations of input values equals NK. To limit the number of runs, only some (totally N) of possible combinations are taken into account. The sampling procedure Updated Latin Hypercube Sampling is used to choose the optimal combinations. To measure the relative importance of each input parameter, the Spearman rank correlation coefficient is proposed. The sensitivity and the influence of all parameters are analyzed within one procedure and the key parameters with the largest influence are immediately identified.
dcterms:title
Optimization of Parametric Studies Using Strategies of Sampling Techniques Optimization of Parametric Studies Using Strategies of Sampling Techniques
skos:prefLabel
Optimization of Parametric Studies Using Strategies of Sampling Techniques Optimization of Parametric Studies Using Strategies of Sampling Techniques
skos:notation
RIV/00216305:26110/12:PU102242!RIV13-MPO-26110___
n7:predkladatel
n16:orjk%3A26110
n4:aktivita
n14:P
n4:aktivity
P(FR-TI3/727), P(TA01020326)
n4:cisloPeriodika
70
n4:dodaniDat
n8:2013
n4:domaciTvurceVysledku
n11:8470502 n11:4118189
n4:druhVysledku
n17:J
n4:duvernostUdaju
n12:S
n4:entitaPredkladatele
n5:predkladatel
n4:idSjednocenehoVysledku
156970
n4:idVysledku
RIV/00216305:26110/12:PU102242
n4:jazykVysledku
n19:eng
n4:klicovaSlova
concrete, pavement, simulation, reliability, Latin Hypercube Sampling, parametric studies
n4:klicoveSlovo
n9:simulation n9:pavement n9:reliability n9:Latin%20Hypercube%20Sampling n9:concrete n9:parametric%20studies
n4:kodStatuVydavatele
ID - Indonéská republika
n4:kontrolniKodProRIV
[6E437E58918D]
n4:nazevZdroje
An international Journal of Science, Engineering and Technology World Academy of Science Engineering and Technology
n4:obor
n15:JM
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n6:TA01020326 n6:FR-TI3%2F727
n4:rokUplatneniVysledku
n8:2012
n4:svazekPeriodika
2012
n4:tvurceVysledku
Ševelová, Lenka Florian, Aleš
s:issn
2010-376X
s:numberOfPages
4
n13:organizacniJednotka
26110