Non-linear Probabilistic Assessment of Existing Bridge Considering Deterioration

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F24%3APU151849" target="_blank" >RIV/00216305:26110/24:PU151849 - isvavai.cz</a>

Result on the web

<a href="https://www.engmech.cz/im/proceedings/show_p/2024/266" target="_blank" >https://www.engmech.cz/im/proceedings/show_p/2024/266</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Non-linear Probabilistic Assessment of Existing Bridge Considering Deterioration

Original language description

The integration of the non-linear finite element method with deterioration-based analysis represents a powerful approach for accurately simulating structural behaviors. However, conducting fully probabilistic analyses on large-scale models that incorporate numerous stochastic variables remains a significantly time-intensive task. As a result, structural designers and engineers frequently prefer semi-probabilistic methods, which significantly reduce the need for extensive non-linear computations. This paper concentrates on evaluating the reliability of an existing railway bridge constructed with cast-in steel beams. It employs an advanced numerical analysis through a non-linear finite element model, combined with established semi-probabilistic approaches, including the ECoV method and the newer eigen ECoV method. To accurately reflect the current state of the bridge's superstructure, the analysis models the carbonation of concrete and the ensuing corrosion of steel beams using analytical models that co

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

20102 - Construction engineering, Municipal and structural engineering

Project

<a href="/en/project/GA22-00774S" target="_blank" >GA22-00774S: Metamodel-assisted probabilistic assessment in bridge structural engineering (MAPAB)</a><br>

Continuities

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

Publication year

2024

Confidentiality

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