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  • A complex methodology for statistical and reliability analyses of concrete structures is presented. It describes the virtual simulation used on the way from assessment of experimental results to reliability analysis. The whole approach is based on randomization of nonlinear fracture mechanics finite element analysis of concrete structures. Efficient techniques of both nonlinear numerical analysis of concrete structures and stochastic simulation methods of Monte Carlo type have been combined in order to offer an advanced tool for assessment of realistic behaviour of concrete structures. The stochastic response requires repeated analyses of the structure with stochastic input parameters, which reflects randomness and uncertainties in the input values. The procedure utilizes statistical simulation of Monte Carlo type also for preparation of training set of artificial neural network used for fracture mechanical parameters identification. The application of approach to virtual statistical simulation of she
  • A complex methodology for statistical and reliability analyses of concrete structures is presented. It describes the virtual simulation used on the way from assessment of experimental results to reliability analysis. The whole approach is based on randomization of nonlinear fracture mechanics finite element analysis of concrete structures. Efficient techniques of both nonlinear numerical analysis of concrete structures and stochastic simulation methods of Monte Carlo type have been combined in order to offer an advanced tool for assessment of realistic behaviour of concrete structures. The stochastic response requires repeated analyses of the structure with stochastic input parameters, which reflects randomness and uncertainties in the input values. The procedure utilizes statistical simulation of Monte Carlo type also for preparation of training set of artificial neural network used for fracture mechanical parameters identification. The application of approach to virtual statistical simulation of she (en)
Title
  • Virtual reliability control of precast prestressed concrete elements using parameters identification and statistical simulation
  • Virtual reliability control of precast prestressed concrete elements using parameters identification and statistical simulation (en)
skos:prefLabel
  • Virtual reliability control of precast prestressed concrete elements using parameters identification and statistical simulation
  • Virtual reliability control of precast prestressed concrete elements using parameters identification and statistical simulation (en)
skos:notation
  • RIV/00216305:26110/09:PU85934!RIV10-MSM-26110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0579), P(GA103/07/0760)
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
  • 348942
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26110/09:PU85934
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Virtual reliability control of precast prestressed concrete elements using parameters identification and statistical simulation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [611C379149BA]
http://linked.open...v/mistoKonaniAkce
  • Saint Petersburg
http://linked.open...i/riv/mistoVydani
  • Saint Petersburg, Russia
http://linked.open...i/riv/nazevZdroje
  • 3rd IEEE Multi-conference on System and Control (MSC 2009)
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
  • Keršner, Zbyněk
  • Lehký, David
  • Novák, Drahomír
  • Doležel, Jiří
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
  • 978-1-4244-4602-5
http://localhost/t...ganizacniJednotka
  • 26110
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