Presentation + Paper
27 March 2019 Quantifying the benefit of SHM: can the VoI be negative?
Author Affiliations +
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).
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Denise Bolognani, Andrea Verzobio, Daniele Zonta, and John Quigley "Quantifying the benefit of SHM: can the VoI be negative?", Proc. SPIE 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 109701I (27 March 2019); https://doi.org/10.1117/12.2518878
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Bridges

Structural health monitoring

Data modeling

Environmental monitoring

Mathematical modeling

Modeling

Roads

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