Detail publikace

Probabilistic Inverse Analysis: Random Material Parameters of Reinforced Concrete Frame

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"
}