Detail publikace

SEMI-PROBABILISTIC ASSESSMENT OF EXISTING BRIDGE USING SIMPLIFIED METHODS FOR ESTIMATION OF VARIANCE

NOVÁK, L. NOVÁK, D.

Originální název

SEMI-PROBABILISTIC ASSESSMENT OF EXISTING BRIDGE USING SIMPLIFIED METHODS FOR ESTIMATION OF VARIANCE

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper is focused on assessment of existing prestressed concrete bridge by simplified methods for estimation of coefficient of variation. The bridge was selected in the framework of the European Project INTERREG AUSTRIA-CZECH REPUBLIC "ATCZ190 SAFEBRIDGE" focused on advanced numerical analysis of existing bridges represented by non-linear finite element model. The key ingredient in semi-probabilistic design and assessment of structures is an estimation of coefficient of variation (ECoV). Recently, correlation interval approach together with novel Eigen ECoV were proposed by authors of this paper and theoretically proved to be an efficient and accurate alternative to existing methods. This contribution is focused on practical application of Eigen ECoV on real example solved by NLFEM and its comparison with other existing simplified methods.

Klíčová slova

Concrete structures, statistical analysis, Estimation of Coefficient of Variation.

Autoři

NOVÁK, L.; NOVÁK, D.

Vydáno

18. 8. 2022

Nakladatel

Czech Technical University in Prague

Místo

Stellenbosch

ISBN

9788001070352

Kniha

Acta Polytechnica CTU Proceedings

ISSN

2336-5382

Periodikum

Acta Polytechnica CTU Proceedings

Ročník

36

Číslo

1

Stát

Česká republika

Strany od

142

Strany do

148

Strany počet

7

BibTex

@inproceedings{BUT181595,
  author="Lukáš {Novák} and Drahomír {Novák}",
  title="SEMI-PROBABILISTIC ASSESSMENT OF EXISTING BRIDGE USING SIMPLIFIED METHODS FOR ESTIMATION OF VARIANCE",
  booktitle="Acta Polytechnica CTU Proceedings",
  year="2022",
  journal="Acta Polytechnica CTU Proceedings",
  volume="36",
  number="1",
  pages="142--148",
  publisher="Czech Technical University in Prague",
  address="Stellenbosch",
  doi="10.14311/APP.2022.36.0142",
  isbn="9788001070352",
  issn="2336-5382"
}