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  • Concrete as a man-made heterogeneous material shows very complex nonlinear behavior which is extremely difficult to model both theoretically and numerically. The microplane model is a fully three-dimensional 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 selected material parameters. Therefore, a reliable and inexpensive procedure for parameters identification of this model is on demand. In the view of potential improvements proposed in a recent work on soft computing methods, a new procedure based on artificial neural networks .
  • Concrete as a man-made heterogeneous material shows very complex nonlinear behavior which is extremely difficult to model both theoretically and numerically. The microplane model is a fully three-dimensional 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 selected material parameters. Therefore, a reliable and inexpensive procedure for parameters identification of this model is on demand. In the view of potential improvements proposed in a recent work on soft computing methods, a new procedure based on artificial neural networks . (en)
  • Tento příspěvek diskutuje identifikaci parametrů komplexního inženýrského modelu pomocí metod umělé inteligence. Konkrétně je představena stochastická optimalizační metoda SADE a její aplikace na určení parametrů mikroploškového modelu betonu. (cs)
Title
  • Určení parametrů mikroploškového modelu pomocí metod umělé inteligence (cs)
  • Microplane Model Parameters Estimation Using Soft Computing Methods
  • Microplane Model Parameters Estimation Using Soft Computing Methods (en)
skos:prefLabel
  • Určení parametrů mikroploškového modelu pomocí metod umělé inteligence (cs)
  • Microplane Model Parameters Estimation Using Soft Computing Methods
  • Microplane Model Parameters Estimation Using Soft Computing Methods (en)
skos:notation
  • RIV/68407700:21110/04:01099173!RIV/2005/MSM/211105/N
http://linked.open.../vavai/riv/strany
  • 536 ; 539
http://linked.open...avai/riv/aktivita
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  • Z(MSM 210000003)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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  • 573499
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21110/04:01099173
http://linked.open...riv/jazykVysledku
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  • Concrete; Finite element method; Genetic algorithms; Inverse problems; Microplane model; Neural network (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4343C371AAC2]
http://linked.open...v/mistoKonaniAkce
  • Bled
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  • Ljubljana
http://linked.open...i/riv/nazevZdroje
  • Multi-physics and Multi-scale Computer Models in Non-linear Analysis and Optimal Design of Engineering Structures Under Extreme Conditions: Proceedings of NATO Advanced Research Worshop
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
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  • University of Ljubljana
https://schema.org/isbn
  • 961-6167-60-X
http://localhost/t...ganizacniJednotka
  • 21110
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