Detail publikace

Identifikace poškození železobetonového nosníku na základě dynamického experimentu

LEHKÝ, D. NOVÁK, D.

Originální název

Identifikace poškození železobetonového nosníku na základě dynamického experimentu

Český název

Identifikace poškození železobetonového nosníku na základě dynamického experimentu

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

cs

Originální abstrakt

The paper is focused on damage identification of reinforced concrete continuous beam with two spans. Starting point is dynamic experiment whereon changes of modal properties for various levels of damage are investigated. The experiment was performed at University of Natural Resources and Applied Live Science (BOKU), Vienna, Austria. The identification method based on artificial neural networks in combination with stratified Monte Carlo type simulation is used.

Český abstrakt

The paper is focused on damage identification of reinforced concrete continuous beam with two spans. Starting point is dynamic experiment whereon changes of modal properties for various levels of damage are investigated. The experiment was performed at University of Natural Resources and Applied Live Science (BOKU), Vienna, Austria. The identification method based on artificial neural networks in combination with stratified Monte Carlo type simulation is used.

Klíčová slova

identifikace, železobetonový nosník, dynamický experiment, konstrukce

Rok RIV

2007

Vydáno

25.10.2007

Místo

Brno, Česká republika

ISBN

978-80-7204-543-3

Kniha

Experiment 2007

Strany od

301

Strany do

306

Strany počet

6

BibTex


@inproceedings{BUT23609,
  author="David {Lehký} and Drahomír {Novák}",
  title="Identifikace poškození železobetonového nosníku na základě dynamického experimentu",
  annote="The paper is focused on damage identification of reinforced concrete continuous beam with two spans. Starting point is dynamic experiment whereon changes of modal properties for various levels of damage are investigated. The experiment was performed at University of Natural Resources and Applied Live Science (BOKU), Vienna, Austria. The identification method based on artificial neural networks in combination with stratified Monte Carlo type simulation is used.",
  booktitle="Experiment 2007",
  chapter="23609",
  year="2007",
  month="october",
  pages="301--306",
  type="conference paper"
}