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Description
  • V příspěvku je diskutováno použití stochastického globálního optimalizačního algoritmu SADE spolu s umělými neuronovými sítěmi na identifikaci parametrů mikroploškového modelu. (cs)
  • Concrete as a man-made heterogeneous material shows very complex non-linear behavior which is extremely difficult to model both theoretically and numerically. The microplane model is a fully threedimensional material law that includes tensional and compressive softening, damage of the material, different combinations of loading, unloading and cyclic loading along with the development of damage-induced anisotropy of the material. As a result, it is fully capable of predicting behavior of real-world concrete structures once provided with proper input data. Although the authors of the model proposed a heuristic calibration procedure, it is based on the trial-and-error method and provides guide to determination of only selected material parameters. Therefore, a reliable and inexpensive procedure for parameters identification of this model is on demand.
  • Concrete as a man-made heterogeneous material shows very complex non-linear behavior which is extremely difficult to model both theoretically and numerically. The microplane model is a fully threedimensional material law that includes tensional and compressive softening, damage of the material, different combinations of loading, unloading and cyclic loading along with the development of damage-induced anisotropy of the material. As a result, it is fully capable of predicting behavior of real-world concrete structures once provided with proper input data. Although the authors of the model proposed a heuristic calibration procedure, it is based on the trial-and-error method and provides guide to determination of only selected material parameters. Therefore, a reliable and inexpensive procedure for parameters identification of this model is on demand. (en)
Title
  • Metody umělé inteligence pro odhad parametrů mikroploškového modelu (cs)
  • Soft Computing Methods for Estimation of Microplane Model Parameters
  • Soft Computing Methods for Estimation of Microplane Model Parameters (en)
skos:prefLabel
  • Metody umělé inteligence pro odhad parametrů mikroploškového modelu (cs)
  • Soft Computing Methods for Estimation of Microplane Model Parameters
  • Soft Computing Methods for Estimation of Microplane Model Parameters (en)
skos:notation
  • RIV/68407700:21110/04:01100267!RIV/2005/MSM/211105/N
http://linked.open.../vavai/riv/strany
  • 69 ; 69
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 210000003)
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
  • 586821
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21110/04:01100267
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • genetic algorithms; microplane model; optimization; parameter estimation; sensitivity analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1E0DE264E9F9]
http://linked.open...v/mistoKonaniAkce
  • Beijing
http://linked.open...i/riv/mistoVydani
  • Beijing
http://linked.open...i/riv/nazevZdroje
  • Computational Mechanics Abstracts, Volume II: Abstracts of the Papers Presented at the Regular Sessions of the Sixth World Congress on Computational Mechanics in conjunction with the Second Asian-Pacific Congress on Computational Mechanics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kučerová, Anna
  • Lepš, Matěj
  • Zeman, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Thinghua University Press & Springer Verlag
https://schema.org/isbn
  • 7-302-09342-3
http://localhost/t...ganizacniJednotka
  • 21110
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