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Reliability Analysis of Structural Health Monitoring Systems

Etebu, E. and Shafiee, M. (2018) Reliability Analysis of Structural Health Monitoring Systems. In: Haugen, Stein and Barros, Anne and Gulijk, Coen van and Kongsvik, Trond and Vinnem, Jan Erik, eds. Safety and Reliability – Safe Societies in a Changing World. Proceedings of ESREL 2018, June 17-21 2018, Trondheim, Norway. CRC Press, London, pp. 2243-2247. ISBN 978-0-8153-8682-7. E-ISBN 978-1-351-17466-4. (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:79992)

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Structural Health Monitoring (SHM) systems are comprised of a grid of sensors installed at a fixed location on structures to detect the presence of defect, localize the detected defect, quantify its severity, and estimate the Remaining Useful Life (RUL). SHM system performance is currently assessed based on Probability of Detection (POD) of defects, which is a function of defect size. This performance parameter was inherited from Non-Destructive Testing (NDT), where a human operator performs inspection on a structure at a given location, with mobile sensors. For SHM systems, POD and Probability-of-False-Alarm (PFA) are a measure for only detection of defects. Furthermore, these parameters could vary over time as sensors degrade. This paper presents a methodology to characterize the performance of SHM systems with respect to damage detection, localization, and assessment. Probability theorem is used to characterize uncertainties associated with the SHM process, and Bayes theorem is employed to determine its reliability. The methodology is then tested on vibration-based modal strain energy SHM technique applied to a numerical Finite Element Analysis (FEA) study conducted on an offshore energy structure.

Item Type: Book section
Uncontrolled keywords: structural health monitoring
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation
T Technology > TA Engineering (General). Civil engineering (General) > TA401 Materials engineering and construction
T Technology > TJ Mechanical engineering and machinery
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Mahmood Shafiee
Date Deposited: 08 Feb 2020 16:39 UTC
Last Modified: 16 Feb 2021 14:11 UTC
Resource URI: (The current URI for this page, for reference purposes)
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