Detail publikačního výsledku

Semi-probabilistic assessment of concrete bridge exploiting additional data from experiments and numerical analysis

NOVÁK, L.; NOVÁK, D.; CAO, M.; PUKL, R.

Originální název

Semi-probabilistic assessment of concrete bridge exploiting additional data from experiments and numerical analysis

Anglický název

Semi-probabilistic assessment of concrete bridge exploiting additional data from experiments and numerical analysis

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

The paper presents an application of the novel methodology for the assessment of structures using a semi-probabilistic approach exploiting advanced probabilistic modeling and experimental results. The selected existing bridge is represented by a costly finite element model, which reflects the non-linearity of concrete and the construction process. Due to a significant computational burden of each simulation, it is not feasible to perform a Monte Carlo simulation and a semi-probabilistic approach was thus adopted. In this study, we investigate the possibility of a Gram-Charlier expansion described by the first four central moments efficiently obtained directly from Polynomial Chaos Expansion metamodel together with the uncertainty quantification of input random variables described by a joint probability distribution obtained from experimental data combined with prior assumptions from codes. Obtained results are compared to the standard approach assuming a Lognormal probability distribution of structural resistance.

Anglický abstrakt

The paper presents an application of the novel methodology for the assessment of structures using a semi-probabilistic approach exploiting advanced probabilistic modeling and experimental results. The selected existing bridge is represented by a costly finite element model, which reflects the non-linearity of concrete and the construction process. Due to a significant computational burden of each simulation, it is not feasible to perform a Monte Carlo simulation and a semi-probabilistic approach was thus adopted. In this study, we investigate the possibility of a Gram-Charlier expansion described by the first four central moments efficiently obtained directly from Polynomial Chaos Expansion metamodel together with the uncertainty quantification of input random variables described by a joint probability distribution obtained from experimental data combined with prior assumptions from codes. Obtained results are compared to the standard approach assuming a Lognormal probability distribution of structural resistance.

Klíčová slova

Bridges; Concretes; Intelligent systems; Monte Carlo methods

Klíčová slova v angličtině

Bridges; Concretes; Intelligent systems; Monte Carlo methods

Autoři

NOVÁK, L.; NOVÁK, D.; CAO, M.; PUKL, R.

Rok RIV

2025

Vydáno

02.07.2023

Nakladatel

CRC Press/Balkema

ISBN

9781003323020

Kniha

Life-Cycle of Structures and Infrastructure Systems

Strany od

2697

Strany do

2704

Strany počet

8

URL

https://www.taylorfrancis.com/chapters/oa-edit/10.1201/9781003323020-328/semi-probabilistic-assessment-concrete-bridge-exploiting-additional-data-experiments-numerical-analysis-nov%C3%A1k-nov%C3%A1k-cao-pukl

BibTex

@inproceedings{BUT194146,
  author="Lukáš {Novák} and Drahomír {Novák} and Maosen {Cao} and Radomír {Pukl}",
  title="Semi-probabilistic assessment of concrete bridge exploiting additional data from experiments and numerical analysis",
  booktitle="Life-Cycle of Structures and Infrastructure Systems",
  year="2023",
  pages="2697--2704",
  publisher="CRC Press/Balkema",
  doi="10.1201/9781003323020-328",
  isbn="9781003323020",
  url="https://www.taylorfrancis.com/chapters/oa-edit/10.1201/9781003323020-328/semi-probabilistic-assessment-concrete-bridge-exploiting-additional-data-experiments-numerical-analysis-nov%C3%A1k-nov%C3%A1k-cao-pukl"
}