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LEHKÝ, D. NOVÁK, D.
Original Title
Inverse FEM Analysis II: Random Parameters Identification of Reinforced Concrete Frame
English Title
Type
conference paper
Language
Czech
Original Abstract
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.
English abstract
Key words in English
Identification, concrete, Monte Carlo, neural network
Authors
LEHKÝ, D.; NOVÁK, D.
RIV year
2005
Released
9. 5. 2005
Publisher
Institute of Thermomechanics
Location
Svratak, Czech Republic
ISBN
80-85918-93-5
Book
Engineer ing Mechanics 2005
Pages from
197
Pages to
198
Pages count
2
BibTex
@inproceedings{BUT18376, author="David {Lehký} and Drahomír {Novák}", title="Inverse FEM Analysis II: Random Parameters Identification of Reinforced Concrete Frame", booktitle="Engineer ing Mechanics 2005", year="2005", pages="197--198", publisher="Institute of Thermomechanics", address="Svratak, Czech Republic", isbn="80-85918-93-5" }