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Pre-posterior optimization of sequence of measurement and intervention actions under structural reliability constraint

James-A. Goulet, Armen Der Kiureghian and Binbin Li

Article (2015)

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Cite this document: Goulet, J.-A., Kiureghian, A. D. & Li, B. (2015). Pre-posterior optimization of sequence of measurement and intervention actions under structural reliability constraint. Structural Safety, 52, p. 1-9. doi:10.1016/j.strusafe.2014.08.001
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It is common to assess the condition of an existing infrastructure using reliability analysis. When, based on the available information, an existing structure has an estimated failure probability above the admissible level, the default solution often is to either strengthen or replace it. Even if this practice is safe, it may not be the most economical. In order to economically restore and improve our existing infrastructure, the engineering community needs to be able to assess the potential gains associated with reducing epistemic uncertainties using measurements, before opting for costly intervention actions, if they become necessary. This paper provides a pre-posterior analysis framework to (1) optimize sequences of actions minimizing the expected costs and satisfying reliability constraints, and (2) quantify the potential gain of making measurements in existing structures. Illustrative examples show that when the failure probability estimated based on the present state of knowledge does not satisfy an admissible threshold, strengthening or replacement interventions can be sub-optimal first actions. The examples also show that significant savings can be achieved by reducing epistemic uncertainties.

Uncontrolled Keywords

Pre-posterior, reliability, measurement, optimization, uncertainty, infrastucture management

Open Access document in PolyPublie
Subjects: 1000 Génie civil > 1000 Génie civil
Department: Département des génies civil, géologique et des mines
Research Center: Non applicable
Funders: Swiss National Science Foundation, Fonds de recherche du Québec - Nature et technologies, U.S. National Science Foundation
Grant number: CMMI-1130061
Date Deposited: 15 Jan 2018 15:28
Last Modified: 24 Oct 2018 16:12
PolyPublie URL: https://publications.polymtl.ca/2891/
Document issued by the official publisher
Journal Title: Structural Safety (vol. 52)
Publisher: Elsevier
Official URL: https://doi.org/10.1016/j.strusafe.2014.08.001


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