Publication detail

Probabilistic Assessment And Sensitivity Analysis of Existing Concrete Bridge Via Surrogate Modeling

NOVÁK, L. NOVÁK, D.

Original Title

Probabilistic Assessment And Sensitivity Analysis of Existing Concrete Bridge Via Surrogate Modeling

Type

conference paper

Language

English

Original Abstract

The paper is focused on probabilistic assessment and sensitivity analysis of existing prestressed concrete bridge using surrogate model in form of Polynomial Chaos Expansion (PCE). The bridge was selected in the framework of the European Project INTERREG AUSTRIA-CZECH REPUBLIC "TCZ190 SAFEBRIDGE" focused on advanced numerical analysis of existing bridges represented by non-linear finite element model. In this study, surrogate model in form of PCE was created, which represents very efficient type of surrogate model. One of significant advantages of PCE is powerful post-processing including sensitivity and moment analysis of the response, which is important part of probabilistic analysis. The obtained numerical results of advanced stochastic analysis consisting of uncertainty quantification and sensitivity analysis of the existing bridge structure are presented in the paper.

Keywords

Concrete structures, polynomial chaos expansion, sensitivity analysis, statistical analysis

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

135

Pages to

141

Pages count

7

BibTex

@inproceedings{BUT181593,
  author="Lukáš {Novák} and Drahomír {Novák}",
  title="Probabilistic Assessment And Sensitivity Analysis of Existing Concrete Bridge Via Surrogate Modeling",
  booktitle="Acta Polytechnica CTU Proceedings",
  year="2022",
  journal="Acta Polytechnica CTU Proceedings",
  volume="36",
  number="1",
  pages="135--141",
  publisher="Czech Technical University in Prague",
  address="Stellenbosch",
  doi="10.14311/APP.2022.36.0135",
  isbn="9788001070352",
  issn="2336-5382"
}