Value of Information Analysis in Structural Safety

Katerina Konakli; Michael Havbro Faber

doi:10.1061/9780784413609.161

Value of Information Analysis in Structural Safety

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

19 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management : Proceedings of the Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA)
Publisher	American Society of Civil Engineers
Publication date	2014
Pages	1605-1614
ISBN (Print)	978-0-7844-1360-9
DOIs	https://doi.org/10.1061/9780784413609.161
Publication status	Published - 2014
Externally published	Yes
Event	Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA) - Liverpool, United Kingdom Duration: 13 Jun 2014 → 16 Jun 2014 Conference number: 2/6

Conference

Conference	Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA)
Number	2/6
Country/Territory	United Kingdom
City	Liverpool
Period	13/06/2014 → 16/06/2014

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10.1061/9780784413609.161

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Konakli, K., & Faber, M. H. (2014). Value of Information Analysis in Structural Safety. In Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management: Proceedings of the Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA) (pp. 1605-1614). American Society of Civil Engineers. https://doi.org/10.1061/9780784413609.161

Konakli, Katerina ; Faber, Michael Havbro. / Value of Information Analysis in Structural Safety. Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management: Proceedings of the Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA). American Society of Civil Engineers, 2014. pp. 1605-1614

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abstract = "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.",

author = "Katerina Konakli and Faber, {Michael Havbro}",

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booktitle = "Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management",

publisher = "American Society of Civil Engineers",

address = "United States",

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Konakli, K & Faber, MH 2014, Value of Information Analysis in Structural Safety. in Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management: Proceedings of the Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA). American Society of Civil Engineers, pp. 1605-1614, Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA), Liverpool, United Kingdom, 13/06/2014. https://doi.org/10.1061/9780784413609.161

Value of Information Analysis in Structural Safety. / Konakli, Katerina; Faber, Michael Havbro.
Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management: Proceedings of the Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA). American Society of Civil Engineers, 2014. p. 1605-1614.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AU - Konakli, Katerina

AU - Faber, Michael Havbro

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PY - 2014

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N2 - 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.

AB - 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.

U2 - 10.1061/9780784413609.161

DO - 10.1061/9780784413609.161

M3 - Article in proceeding

SN - 978-0-7844-1360-9

SP - 1605

EP - 1614

BT - Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management

PB - American Society of Civil Engineers

T2 - Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA)

Y2 - 13 June 2014 through 16 June 2014

ER -

Konakli K, Faber MH. Value of Information Analysis in Structural Safety. In Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management: Proceedings of the Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA). American Society of Civil Engineers. 2014. p. 1605-1614 doi: 10.1061/9780784413609.161

Value of Information Analysis in Structural Safety

Abstract

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