Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikačního výsledku
NOVÁK, L.; NOVÁK, D.
Originální název
Probabilistic Assessment And Sensitivity Analysis of Existing Concrete Bridge Via Surrogate Modeling
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
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.
Anglický abstrakt
Klíčová slova
Concrete structures, polynomial chaos expansion, sensitivity analysis, statistical analysis
Klíčová slova v angličtině
Autoři
Rok RIV
2023
Vydáno
18.08.2022
Nakladatel
Czech Technical University in Prague
Místo
Stellenbosch
ISBN
9788001070352
Kniha
Acta Polytechnica CTU Proceedings
ISSN
2336-5382
Periodikum
Svazek
36
Číslo
1
Stát
Česká republika
Strany od
135
Strany do
141
Strany počet
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" }