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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F28399269%3A_____%2F23%3AN0000003" target="_blank" >RIV/28399269:_____/23:N0000003 - isvavai.cz</a>

Výsledek na webu

<a href="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" target="_blank" >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</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1201/9781003323020-328" target="_blank" >10.1201/9781003323020-328</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20102 - Construction engineering, Municipal and structural engineering

Projekt

<a href="/cs/project/TM04000012" target="_blank" >TM04000012: Systém pro zjišťování stavu betonových mostů založený na na vzájemné podpoře velkých dat a mechaniky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Life-Cycle of Structures and Infrastructure Systems - PROCEEDINGS OF THE EIGHTH INTERNATIONAL SYMPOSIUM ON LIFE-CYCLE CIVIL ENGINEERING (IALCCE 2023), 2-6 JULY, 2023, POLITECNICO DI MILANO, MILAN, ITALY

ISBN

978-100332302-0

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

2697-2704

Název nakladatele

CRC Press/Balkema

Místo vydání

London

Místo konání akce

Milan

Datum konání akce

2. 7. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—