Value of structural health information

The value of structural health information is the expected utility gain of a built environment system before information acquirement.

Background[]

The value of structural health information takes basis in the framework of the decision analysis and the value of information analysis as introduced by Raiffa and Schlaifer.^[1] and adapted civil engineering by Benjamin and Cornell.^[2] Decision theory itself is based upon the expected utility hypothesis by Von Neumann and Morgenstern.^[3] The concepts for the value of structural health information in built environment engineering were first formulated by Pozzi and Der Kiureghian^[4] and Faber and Thöns.^[5]

Formulation[]

The value of structural health information is quantified with a normative decision analysis. The value of structural health monitoring $V$ is calculated as the difference of the expected value of the utility of performing and not performing structural health monitoring (SHM), $U_{1}$ and $U_{0}$ , respectively:

$V=U_{1}-U_{0}$

The expected value of the utilities are calculated with interrelated performance models of the built environment structure, structural health information, structural health actions and with utility and consequence models. The expected utility value quantification is subjected to an optimization of structural health information system parameters and information dependent actions.^[6]^[7]

Application[]

The value of structural health information provides a quantitative decision basis for implementing SHM or not and the identification of the optimal SHM strategy. It has been shown that the value of structural health information can be very significant for the risk and integrity management of engineering structures.^[6]^[8]^[7]

References[]

^ Raiffa, Howard, 1924-2016. (2000). Applied statistical decision theory. Schlaifer, Robert. (Wiley classics library ed.). New York: Wiley. ISBN 047138349X. OCLC 43662059.CS1 maint: multiple names: authors list (link)
^ Benjamin, J. R. Cornell, C. A. (1970). Probability, Statistics, and Decision for Civil Engineers. McGraw-Hill. OCLC 473420360.CS1 maint: multiple names: authors list (link)
^ von Neumann, John; Morgenstern, Oskar (2007-12-31). Theory of Games and Economic Behavior (60th Anniversary Commemorative ed.). Princeton: Princeton University Press. doi:10.1515/9781400829460. ISBN 9781400829460.
^ Pozzi, Matteo; Der Kiureghian, Armen (2011-03-24). Kundu, Tribikram (ed.). "Assessing the value of information for long-term structural health monitoring". Health Monitoring of Structural and Biological Systems 2011. SPIE. 7984: 79842W. Bibcode:2011SPIE.7984E..2WP. doi:10.1117/12.881918. S2CID 3057973.
^ Faber, M; Thöns, S (2013-09-18), "On the value of structural health monitoring", Safety, Reliability and Risk Analysis, CRC Press, pp. 2535–2544, doi:10.1201/b15938-380, ISBN 9781138001237
^ Jump up to: ^a ^b "TU1402 Guidelines - Quantifying the Value of Structural Health Monitoring - COST Action TU 1402". www.cost-tu1402.eu. Retrieved 2019-10-21.
^ Jump up to: ^a ^b Thöns, Sebastian. "Background documentation of the Joint Committee of Structural Safety (JCSS): Quantifying the value of structural health information for decision support" (PDF).
^ Sohn, H.; Farrar, C. R.; Hemez, F. M.; Shunk, D. D.; Stinemates, D. W.; Nadler, B. R.; Czarnecki, J. J. (2001). A Review of Structural Health Monitoring Literature: 1996–2001. Los Alamos: Los Alamos National Laboratory report LA-13070-MS.CS1 maint: multiple names: authors list (link)

[1] Raiffa, Howard, 1924-2016. (2000). Applied statistical decision theory. Schlaifer, Robert. (Wiley classics library ed.). New York: Wiley. ISBN 047138349X. OCLC 43662059.CS1 maint: multiple names: authors list (link)

[2] Benjamin, J. R. Cornell, C. A. (1970). Probability, Statistics, and Decision for Civil Engineers. McGraw-Hill. OCLC 473420360.CS1 maint: multiple names: authors list (link)

[3] von Neumann, John; Morgenstern, Oskar (2007-12-31). Theory of Games and Economic Behavior (60th Anniversary Commemorative ed.). Princeton: Princeton University Press. doi:10.1515/9781400829460. ISBN 9781400829460.

[4] Pozzi, Matteo; Der Kiureghian, Armen (2011-03-24). Kundu, Tribikram (ed.). "Assessing the value of information for long-term structural health monitoring". Health Monitoring of Structural and Biological Systems 2011. SPIE. 7984: 79842W. Bibcode:2011SPIE.7984E..2WP. doi:10.1117/12.881918. S2CID 3057973.

[5] Faber, M; Thöns, S (2013-09-18), "On the value of structural health monitoring", Safety, Reliability and Risk Analysis, CRC Press, pp. 2535–2544, doi:10.1201/b15938-380, ISBN 9781138001237

[:0-6] Jump up to: ^a ^b "TU1402 Guidelines - Quantifying the Value of Structural Health Monitoring - COST Action TU 1402". www.cost-tu1402.eu. Retrieved 2019-10-21.

[:1-7] Jump up to: ^a ^b Thöns, Sebastian. "Background documentation of the Joint Committee of Structural Safety (JCSS): Quantifying the value of structural health information for decision support" (PDF).

[8] Sohn, H.; Farrar, C. R.; Hemez, F. M.; Shunk, D. D.; Stinemates, D. W.; Nadler, B. R.; Czarnecki, J. J. (2001). A Review of Structural Health Monitoring Literature: 1996–2001. Los Alamos: Los Alamos National Laboratory report LA-13070-MS.CS1 maint: multiple names: authors list (link)

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