Detail publikace

Inverse FEM Analysis II: Random Parameters Identification of Reinforced Concrete Frame

LEHKÝ, D. NOVÁK, D.

Originální název

Inverse FEM Analysis II: Random Parameters Identification of Reinforced Concrete Frame

Český název

Inverse FEM Analysis II: Random Parameters Identification of Reinforced Concrete Frame

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

cs

Originální abstrakt

The paper is focused on statistical inverse analysis of material model parameters, where statistical parameters of input parameters of input parameters have to be identified based on experimental data (histograms of response). Stratified simulation technique of Monte Carlo combined with artificial neural network is efficiently used. The methodology is shown using example of reinforced concrete frame. means and standard deviations of fracture-mechanical parameters (like modulus of elasticity, fracture, energy, etc.) are subject of identification. The paper shows differences in results when using different load levels for identification.

Český abstrakt

The paper is focused on statistical inverse analysis of material model parameters, where statistical parameters of input parameters of input parameters have to be identified based on experimental data (histograms of response). Stratified simulation technique of Monte Carlo combined with artificial neural network is efficiently used. The methodology is shown using example of reinforced concrete frame. means and standard deviations of fracture-mechanical parameters (like modulus of elasticity, fracture, energy, etc.) are subject of identification. The paper shows differences in results when using different load levels for identification.

Rok RIV

2005

Vydáno

09.05.2005

Nakladatel

Institute of Thermomechanics

Místo

Svratak, Czech Republic

ISBN

80-85918-93-5

Kniha

Engineer ing Mechanics 2005

Strany od

197

Strany do

198

Strany počet

2

BibTex


@inproceedings{BUT18376,
  author="David {Lehký} and Drahomír {Novák}",
  title="Inverse FEM Analysis II: Random Parameters Identification of Reinforced Concrete Frame",
  annote="The paper is focused on statistical inverse analysis of material model parameters, where statistical parameters of input parameters of input parameters have to be identified based on experimental data (histograms of response). Stratified simulation technique of Monte Carlo combined with artificial neural network is efficiently used. The methodology is shown using example of reinforced concrete frame. means and standard deviations of fracture-mechanical parameters (like modulus of elasticity, fracture, energy, etc.) are subject of identification. The paper shows differences in results when using different load levels for identification.",
  address="Institute of Thermomechanics",
  booktitle="Engineer ing Mechanics 2005",
  chapter="18376",
  institution="Institute of Thermomechanics",
  year="2005",
  month="may",
  pages="197--198",
  publisher="Institute of Thermomechanics",
  type="conference paper"
}