Detail publikačního výsledku

Optimization of Parametric Studies Using Strategies of Sampling Techniques

FLORIAN, A.; ŠEVELOVÁ, L.

Originální název

Optimization of Parametric Studies Using Strategies of Sampling Techniques

Anglický název

Optimization of Parametric Studies Using Strategies of Sampling Techniques

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

concrete, pavement, simulation, reliability, Latin Hypercube Sampling, parametric studies

Klíčová slova v angličtině

concrete, pavement, simulation, reliability, Latin Hypercube Sampling, parametric studies

Autoři

FLORIAN, A.; ŠEVELOVÁ, L.

Rok RIV

2013

Vydáno

15.10.2012

Nakladatel

WASET

Místo

Denpasar

ISSN

2010-376X

Periodikum

World Academy of Science, Engineering and Technology

Svazek

2012

Číslo

70

Stát

Indonéská republika

Strany od

1167

Strany do

1170

Strany počet

4

BibTex

@article{BUT97487,
  author="Aleš {Florian} and Lenka {Ševelová}",
  title="Optimization of Parametric Studies Using Strategies of Sampling Techniques",
  journal="World Academy of Science, Engineering and Technology",
  year="2012",
  volume="2012",
  number="70",
  pages="1167--1170",
  issn="2010-376X"
}