Title: An approach to decision‐making analysis for implementation of structural health monitoring in bridges
Abstract: Structural Control and Health MonitoringVolume 26, Issue 6 e2352 RESEARCH ARTICLE An approach to decision-making analysis for implementation of structural health monitoring in bridges Ana C. Neves, Corresponding Author Ana C. Neves [email protected] orcid.org/0000-0002-2166-6085 Structural Engineering and Bridges, KTH-Royal Institute of Technology, Stockholm, Sweden Correspondence Ana C. Neves, Structural Engineering and Bridges, KTH-Royal Institute of Technology Brinellvägen 23, Stockholm 114 28, Sweden. Email: [email protected] for more papers by this authorJohn Leander, John Leander Structural Engineering and Bridges, KTH-Royal Institute of Technology, Stockholm, SwedenSearch for more papers by this authorIgnacio González, Ignacio González Structural Engineering and Bridges, KTH-Royal Institute of Technology, Stockholm, SwedenSearch for more papers by this authorRaid Karoumi, Raid Karoumi Structural Engineering and Bridges, KTH-Royal Institute of Technology, Stockholm, SwedenSearch for more papers by this author Ana C. Neves, Corresponding Author Ana C. Neves [email protected] orcid.org/0000-0002-2166-6085 Structural Engineering and Bridges, KTH-Royal Institute of Technology, Stockholm, Sweden Correspondence Ana C. Neves, Structural Engineering and Bridges, KTH-Royal Institute of Technology Brinellvägen 23, Stockholm 114 28, Sweden. Email: [email protected] for more papers by this authorJohn Leander, John Leander Structural Engineering and Bridges, KTH-Royal Institute of Technology, Stockholm, SwedenSearch for more papers by this authorIgnacio González, Ignacio González Structural Engineering and Bridges, KTH-Royal Institute of Technology, Stockholm, SwedenSearch for more papers by this authorRaid Karoumi, Raid Karoumi Structural Engineering and Bridges, KTH-Royal Institute of Technology, Stockholm, SwedenSearch for more papers by this author First published: 28 March 2019 https://doi.org/10.1002/stc.2352Citations: 24Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Summary Adverse situations such as prolonged downtime of a structure, unnecessary inspections, expensive allocation of personal and equipment, deficient structural performance, or failure can be avoided by using structural health monitoring (SHM). Enhanced structural safety is the leading reason for its implementation, but one of the remaining obstacles to fully implement SHM systems deals with justifying their economic benefit. At any point in time, the preference towards one particular action depends on factors such as the probability of the triggered events and their consequences. All the possible decisions and relevant information can be illustrated by decision tree models, and the optimal decision corresponds to the one with the highest utility. Applying the Bayesian Theorem, the assumed prior probabilities of the structural state are updated in the light of new information provided by a system and the optimal decision is revised. This paper proposes a dynamic decision-making framework to manage civil engineering structures, where the ultimate goal is to achieve greater overall economy without jeopardizing safety. This paper covers a case study of a bridge where the optimal SHM and maintenance decisions are determined in the context of different scenarios in which the event probabilities and associated costs are made-up. Citing Literature Volume26, Issue6June 2019e2352 RelatedInformation