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  • The objective of the paper is to present methods and software for the efficient statistical, sensitivity and reliability assessment of infrastructure. Attention is given to small-sample techniques which have been developed for the analysis of computationally intensive problems. The paper shows the possibility of %22randomizing%22 computationally intensive problems in the sense of the Monte Carlo type of simulation. In order to keep the number of required simulations at an acceptable level, Latin Hypercube Sampling is utilized. The technique is used for simulation of random variables and random fields. Sensitivity analysis is based on nonparametric rank-order correlation coefficients. Statistical correlation is imposed by the stochastic optimization technique – simulated annealing. A hierarchical sampling approach has been developed for the extension of the sample size in Latin Hypercube Sampling, enabling the addition of simulations to a current sample set while maintaining the desired correlation struc
  • The objective of the paper is to present methods and software for the efficient statistical, sensitivity and reliability assessment of infrastructure. Attention is given to small-sample techniques which have been developed for the analysis of computationally intensive problems. The paper shows the possibility of %22randomizing%22 computationally intensive problems in the sense of the Monte Carlo type of simulation. In order to keep the number of required simulations at an acceptable level, Latin Hypercube Sampling is utilized. The technique is used for simulation of random variables and random fields. Sensitivity analysis is based on nonparametric rank-order correlation coefficients. Statistical correlation is imposed by the stochastic optimization technique – simulated annealing. A hierarchical sampling approach has been developed for the extension of the sample size in Latin Hypercube Sampling, enabling the addition of simulations to a current sample set while maintaining the desired correlation struc (en)
Title
  • FReET software for reliability and durability assessment of infrastructure
  • FReET software for reliability and durability assessment of infrastructure (en)
skos:prefLabel
  • FReET software for reliability and durability assessment of infrastructure
  • FReET software for reliability and durability assessment of infrastructure (en)
skos:notation
  • RIV/00216305:26110/14:PU113498!RIV15-TA0-26110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA14-10930S), P(TA01011019)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 17497
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26110/14:PU113498
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Statistical analysis, sensitivity, reliability, Monte Carlo simulation, Latin Hypercube Sampling, simulated annealing, random fields, material degradation. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4D91449D6CC1]
http://linked.open...v/mistoKonaniAkce
  • Melbourne
http://linked.open...i/riv/mistoVydani
  • Melbourne, Australia
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the first international conference on infrastructure failures and consequences
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Teplý, Břetislav
  • Vořechovský, Miroslav
  • Novák, Drahomír
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-0-9925570-1-0
http://localhost/t...ganizacniJednotka
  • 26110
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