Assessing the value of structural health monitoring

Thöns, Sebastian; Faber, Michael Havbro

doi:10.1201/b16387-367

Cited by 36 publications

(39 citation statements)

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“…Early approaches for the quantification of the value of SHM include the works by Pozzi and Der Kiureghian () and Thöns () extended in Thöns and Faber () and Faber and Thöns (). Herein, the principal utilization of the value of information (VoI) theory for the field of SHM is proposed, formulated, and exemplarily demonstrated.…”

Section: Introductionmentioning

confidence: 99%

On the Value of Monitoring Information for the Structural Integrity and Risk Management

Thöns

2017

Computer aided Civil Eng

114

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This article introduces an approach and framework for the quantification of the value of structural health monitoring (SHM) in the context of the structural risk and integrity management for systems. The quantification of the value of SHM builds upon the Bayesian decision and utility theory, which facilitates the assessment of the value of information associated with SHM. The principal approach for the quantification of the value of SHM is formulated by modeling the fundamental decision of performing SHM or not in conjunction with their expected utilities. The expected utilities are calculated accounting for the probabilistic performance of a system in conjunction with the associated structural integrity and risk management actions throughout the life cycle, the associated benefits, structural risks, and costs and when performing SHM, the SHM information, their probabilistic outcomes, and costs. The calculation of the expected utilities necessitates a comprehensive and rigorous modeling, which is introduced close to the original formulations and for which analysis characteristics and simplifications are described and derived. The framework provides the basis for the optimization of the structural risk and integrity management based on utility gains including or excluding SHM and inspection information. Studies of fatigue deteriorating structural systems and their characteristics (1) provide decision support for the performance of SHM, (2) explicate the influence of the structural component and system characteristics on the value of SHM, and (3) demonstrate how an integral optimization of SHM and inspection strategies for an efficient structural risk and integrity management can be performed.

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Section: Introductionmentioning

confidence: 99%

On the Value of Monitoring Information for the Structural Integrity and Risk Management

Thöns

2017

Computer aided Civil Eng

114

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“…Potentials for further developments are seen in integrating the presented method into the framework of pre-posterior decision analysis to identify optimal inspection, monitoring and maintenance strategies for engineering structures (e.g. Straub and Faber 2005;Thöns and Faber 2013;Straub 2014).…”

Section: /42mentioning

confidence: 99%

Reliability analysis and updating of deteriorating systems with subset simulation

2017

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“…The VoI concept was introduced by Raiffa and Schlaifer (1961) and has been employed in several decision-analysis studies in the field of Informatics (e.g., Dearden et al 1998), Economics (e.g., Howard 1966, Health Care (e.g., Claxton et al 2001) and Environmental Risk Management (e.g., Yokota and Thompson 2004). Applications in the field of Structural Safety remain limited (e.g., Pozzi and Der Kiureghian 2011, Thöns and Faber 2013, Straub 2013. The present paper describes a general framework for application of VoI analysis in Structural Safety and presents example applications for structural components and system models.…”

Section: Introductionmentioning

confidence: 99%

Value of Information Analysis in Structural Safety

Konakli

Faber

2014

Vulnerability, Uncertainty, and Risk

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Pre-posterior analysis can be used to assess the potential of an experiment to enhance decision making by providing information on parameters characterized by uncertainty. The present paper describes a framework for pre-posterior analysis for support of decisions related to maintenance of structural systems. In this context, experiments may refer to inspections or techniques of structural health monitoring. The Value of Information concept provides a powerful tool for determining whether the experimental cost is justified by the expected benefit and for identifying the optimal among different possible experimental schemes. This concept is elaborated through principal examples for structural components and system models. Sensitivity analyses are performed to investigate how the decision problem is influenced by the level of uncertainty that characterizes the structural properties, the amount and quality of information and the probabilistic dependencies between components of a system.

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Assessing the value of structural health monitoring

Cited by 36 publications

References 0 publications

On the Value of Monitoring Information for the Structural Integrity and Risk Management

On the Value of Monitoring Information for the Structural Integrity and Risk Management

Reliability analysis and updating of deteriorating systems with subset simulation

Value of Information Analysis in Structural Safety

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