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Proceedings Paper

Quantifying the benefit of SHM: can the VoI be negative?
Author(s): Denise Bolognani; Andrea Verzobio; Daniele Zonta; John Quigley
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Paper Abstract

Structural Health Monitoring (SHM) is generally presented as a powerful tool that allows bridge managers to make decisions on maintenance, reconstruction and repair of their assets. The benefit of SHM can be properly quantified using the concept of Value of Information (VoI), i.e. the difference between the utilities of operating the structure with and without the monitoring system. In calculating the VoI, two understood assumptions are that all decisions concerning system installation and operation are taken by the same rational agent and that “information never hurts”, i.e. VoI is guaranteed to be non-negative. However, in the real world, the individual who decides on buying a monitoring system, the owner, is often not the same individual, the manager, who will use it once the system has been installed, and they may be-have differently because of their different risk aversion. We develop a formulation to properly evaluate the VoI from the owner perspective, when the manager is a different individual. We demonstrate that in a decision-making process where the two individuals involved share exactly the same information, but behave differently, the VoI can be negative and that we can always find a combination of prior probabilities and utility functions which ultimately yields a negative conditional VoI. Indeed, even if the two agents have an agreement a priori, due to their different behaviors, their optimal actions can diverge after the installation of the monitoring system. We apply this formulation on a real-life case study concerning the Streicker Bridge (NJ, USA).

Paper Details

Date Published: 27 March 2019
PDF: 10 pages
Proc. SPIE 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 109701I (27 March 2019); doi: 10.1117/12.2518878
Show Author Affiliations
Denise Bolognani, Univ. degli Studi di Trento (Italy)
Andrea Verzobio, Univ. of Glasgow (United Kingdom)
Daniele Zonta, Univ. degli Studi di Trento (United Kingdom)
Univ. of Glasgow (United Kingdom)
John Quigley, Univ. of Glasgow (United Kingdom)

Published in SPIE Proceedings Vol. 10970:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019
Jerome P. Lynch; Haiying Huang; Hoon Sohn; Kon-Well Wang, Editor(s)

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