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Quantifying the value of monitoring for post-earthquake emergency management of bridges

 Quantifying the value of monitoring for post-earthquake emergency management of bridges
Auteur(s): , , ,
Présenté pendant IABSE Symposium: Engineering the Future, Vancouver, Canada, 21-23 September 2017, publié dans , pp. 3245-3252
DOI: 10.2749/222137817822208852
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SHM systems are widely installed to increase the knowledge of the structural state and in present practice it is implicitly assumed that the information they bring is beneficial for the structural ...
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Détails bibliographiques

Auteur(s): (Politecnico di Milano, Milano, Italy)
(The LRF Centre for Safety and Reliability Engineering, The University of Aberdeen, UK)
(Earthquake Engineering and Disaster Management Institute, Istanbul Technical University, Turkey)
(Bogazici University, Istanbul, Turkey)
Médium: papier de conférence
Langue(s): anglais
Conférence: IABSE Symposium: Engineering the Future, Vancouver, Canada, 21-23 September 2017
Publié dans:
Page(s): 3245-3252 Nombre total de pages (du PDF): 8
Page(s): 3245-3252
Nombre total de pages (du PDF): 8
Année: 2017
DOI: 10.2749/222137817822208852
Abstrait:

SHM systems are widely installed to increase the knowledge of the structural state and in present practice it is implicitly assumed that the information they bring is beneficial for the structural integrity management. This may not always be the case since inappropriate use of monitoring data, leading to wrong decisions, may be detrimental for the structural safety or cause economic losses. In this paper, a framework based on the concept of Value of Information from the pre- posterior Bayesian analysis is applied to forecast the utility associated to the implementation of an SHM system for the case of emergency management of road bridges subjected to seismic risk. An optimization problem is formulated to identify the most efficient decisions regarding traffic restrictions after an earthquake defined as those corresponding to the minimum associated cost and consequences. The choice of a proper structural performance indicator and the methods for the computation of the prior probabilities of damage, of the likelihood functions and of the costs associated with the different possible traffic restrictions are also briefly discussed.

Mots-clé:
ponts-routes