Risk-Informed Decision Making on Protective Measures for Highway Bridges

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21610%2F14%3A00222418" target="_blank" >RIV/68407700:21610/14:00222418 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Risk-Informed Decision Making on Protective Measures for Highway Bridges

Popis výsledku v původním jazyce

Bridges and tunnels are perceived as the most vulnerable components of the road network. In this study assessments of individual highway bridges exposed to accidental situations are discussed from a general point of view. A methodology of the risk-informed decision making based on Bayesian networks is developed. From an economic point of view the objective is to minimize the total working-life cost (risk) of the bridge. The decision parameter(s) to be optimised may represent resistance in the case of upgrading, stand-off distance, properties of energy absorbing shields etc. Total structural costs consist of initial, in-service costs and consequences of structural failure. For risk analysis use of Bayesian networks is advocated. The present study showsthat decisions concerning protective measures can be based on the risk-based optimisation of the expected costs.

Název v anglickém jazyce

Risk-Informed Decision Making on Protective Measures for Highway Bridges

Popis výsledku anglicky

Bridges and tunnels are perceived as the most vulnerable components of the road network. In this study assessments of individual highway bridges exposed to accidental situations are discussed from a general point of view. A methodology of the risk-informed decision making based on Bayesian networks is developed. From an economic point of view the objective is to minimize the total working-life cost (risk) of the bridge. The decision parameter(s) to be optimised may represent resistance in the case of upgrading, stand-off distance, properties of energy absorbing shields etc. Total structural costs consist of initial, in-service costs and consequences of structural failure. For risk analysis use of Bayesian networks is advocated. The present study showsthat decisions concerning protective measures can be based on the risk-based optimisation of the expected costs.

Druh

O - Ostatní výsledky

CEP obor

JN - Stavebnictví

OECD FORD obor

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Projekt

<a href="/cs/project/VG20122015089" target="_blank" >VG20122015089: Hodnocení bezpečnosti a rizik dopravních staveb při mimořádném zatížení</a><br>

Návaznosti

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

Rok uplatnění

2014

Kód důvěrnosti údajů

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