Semi-probabilistic assessment of concrete bridge exploiting additional data from experiments and numerical analysis
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Semi-probabilistic assessment of concrete bridge exploiting additional data from experiments and numerical analysis
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20102 - Construction engineering, Municipal and structural engineering
Result continuities
Project
<a href="/en/project/TM04000012" target="_blank" >TM04000012: A concrete bridge health interpretation system based on mutual boost of big data and physical mechanism</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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
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e-ISSN
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Number of pages
8
Pages from-to
2697-2704
Publisher name
CRC Press/Balkema
Place of publication
London
Event location
Milan
Event date
Jul 2, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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