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Statements

Subject Item
n2:RIV%2F68407700%3A21110%2F13%3A00207145%21RIV14-TA0-21110___
rdf:type
skos:Concept n15:Vysledek
dcterms:description
The Latin Hypercube Sampling (LHS) method is a numerical simulation method of the Monte Carlo type convenient for realisation of probabilistic analyses. The paper is focused on brief characterisation of algorithm of LHS method. It deals with method modifications and implementation of statistical correlation among random variables based on the optimisation of the sequence of particular samples in the columns of input variable matrix. LHS converges to the correct solution significantly faster than the Monte Carlo method and in this way substantially reduces the number of simulations and thus calculation time-demands. At the same time LHS preserves high accuracy of estimates of statistical characteristics. Further paper summarizes the LHS applications on solutions of geotechnical problems in Czech Republic and shortly characterises prepared software focused on probabilistic analyses by LHS method. The software is based on LHS mean method cooperating with simulated annealing method to take the statistical dependency of input variables into consideration. The Latin Hypercube Sampling (LHS) method is a numerical simulation method of the Monte Carlo type convenient for realisation of probabilistic analyses. The paper is focused on brief characterisation of algorithm of LHS method. It deals with method modifications and implementation of statistical correlation among random variables based on the optimisation of the sequence of particular samples in the columns of input variable matrix. LHS converges to the correct solution significantly faster than the Monte Carlo method and in this way substantially reduces the number of simulations and thus calculation time-demands. At the same time LHS preserves high accuracy of estimates of statistical characteristics. Further paper summarizes the LHS applications on solutions of geotechnical problems in Czech Republic and shortly characterises prepared software focused on probabilistic analyses by LHS method. The software is based on LHS mean method cooperating with simulated annealing method to take the statistical dependency of input variables into consideration.
dcterms:title
Probabilistic analyses using Latin Hypercube Sampling method Probabilistic analyses using Latin Hypercube Sampling method
skos:prefLabel
Probabilistic analyses using Latin Hypercube Sampling method Probabilistic analyses using Latin Hypercube Sampling method
skos:notation
RIV/68407700:21110/13:00207145!RIV14-TA0-21110___
n15:predkladatel
n21:orjk%3A21110
n3:aktivita
n16:P
n3:aktivity
P(TA01011816)
n3:dodaniDat
n9:2014
n3:domaciTvurceVysledku
n13:7715730
n3:druhVysledku
n4:D
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
99648
n3:idVysledku
RIV/68407700:21110/13:00207145
n3:jazykVysledku
n20:eng
n3:klicovaSlova
numerical modelling; tunnel; statistics; latin hypercube sampling; LHS
n3:klicoveSlovo
n7:latin%20hypercube%20sampling n7:tunnel n7:LHS n7:statistics n7:numerical%20modelling
n3:kontrolniKodProRIV
[D65C08DAC46D]
n3:mistoKonaniAkce
Praha
n3:mistoVydani
Praha
n3:nazevZdroje
Podzemní stavby Praha 2013
n3:obor
n18:JN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:projekt
n6:TA01011816
n3:rokUplatneniVysledku
n9:2013
n3:tvurceVysledku
Hilar, Matouš Svoboda, T.
n3:typAkce
n19:EUR
n3:zahajeniAkce
2013-04-22+02:00
s:numberOfPages
1
n22:hasPublisher
Česká tunelářská asociace ITA-AITES
n14:isbn
978-80-260-3867-2
n5:organizacniJednotka
21110