Publication detail

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

NOVÁK, L. NOVÁK, D.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

NOVÁK, L.; NOVÁK, D.

Released

18. 8. 2022

Publisher

Czech Technical University in Prague

Location

Stellenbosch

ISBN

9788001070352

Book

Acta Polytechnica CTU Proceedings

ISBN

2336-5382

Periodical

Acta Polytechnica CTU Proceedings

Year of study

36

Number

1

State

Czech Republic

Pages from

142

Pages to

148

Pages count

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"
}