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Detail publikace
LEHKÝ, D. NOVÁK, D.
Originální název
Probabilistic Inverse Analysis: Random Material Parameters of Reinforced Concrete Frame
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The paper focuses on the statistical inverse analysis of material model parameters, where statistical moments of input parameters have to be indentified based on experimental data (histograms of response). Stratified simulation technique of Monte Carlo type combined with artifical neural network is efficiently used. The methodology is shown using the example of reinforced concrete frame solved by nonlinear fracture mechanics tool for objective failure modeling of structures with significant nonlinear effects. Means and standard deviations of fracture-mechanical parameters (like modulus of elasticity, fracture energy, etc.) are the subject of identification.
Klíčová slova
inverse analysis, concrete, nonlinear fracture mechanics, finite element method
Autoři
LEHKÝ, D.; NOVÁK, D.
Rok RIV
2005
Vydáno
24. 8. 2005
Místo
Lille, Francie
Strany od
147
Strany do
154
Strany počet
8
BibTex
@inproceedings{BUT18369, author="David {Lehký} and Drahomír {Novák}", title="Probabilistic Inverse Analysis: Random Material Parameters of Reinforced Concrete Frame", booktitle="Novel Applications of Neural Networks in Engineering", year="2005", pages="147--154", address="Lille, Francie" }