Publication result detail

Optimization of Parametric Studies Using Strategies of Sampling Techniques

FLORIAN, A.; ŠEVELOVÁ, L.

Original Title

Optimization of Parametric Studies Using Strategies of Sampling Techniques

English Title

Optimization of Parametric Studies Using Strategies of Sampling Techniques

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

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.

English abstract

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.

Keywords

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

Key words in English

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

Authors

FLORIAN, A.; ŠEVELOVÁ, L.

RIV year

2013

Released

15.10.2012

Publisher

WASET

Location

Denpasar

ISBN

2010-376X

Periodical

World Academy of Science, Engineering and Technology

Volume

2012

Number

70

State

Republic of Indonesia

Pages from

1167

Pages to

1170

Pages count

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"
}