Metamodeling strategies for value of information computation

M. S. Khan, S. Ghosh, J. Ghosh, C. Caprani

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

Abstract

The benefits of structural health monitoring (SHM) within the life-cycle of a structure include reducing risk, quantifying uncertainties and hence prevention of unnecessary maintenance actions. Value of information (VoI) is one such indicator that has been frequently used to formally quantify the benefit of SHM. Adopting a life-cycle perspective of the incurred costs typically due to failure and maintenance, VoI is defined as the difference between the costs with and without SHM information. Hence, VoI can also be used to compare different SHM strategies and instruments. However, the application of VoI to realistic problems has so far been restricted due to a number of issues, of which the computational complexity is the most significant. As the structural model and the maintenance strategy become more comprehensive (and realistic), the evaluation of VoI becomes intractable due to the increasing number of decision/event possibilities. Metamodeling or surrogate modelling strategies are widely adopted to approximate complex models into simpler functional forms using a limited number of simulations. In this paper, we investigate polynomial chaos expansion (PCE) and a kriging metamodelling framework for VoI computation and demonstrate it for a structural component undergoing linear degradation. The efficiency of the metamodelling strategies is evaluated against a crude Monte Carlo sampling based approach. The reduction in computation costs can enable the implementation of VoI in realistic scenarios. Options for further improvement in the metamodel efficiency are also discussed.

Original languageEnglish
Title of host publicationLife-Cycle Analysis and Assessment in Civil Engineering
Subtitle of host publicationTowards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018
EditorsDan M. Frangopol, Robby Caspeele, Luc Taerwe
PublisherCRC Press
Pages2169-2174
Number of pages6
ISBN (Print)9781138626331
Publication statusPublished - 1 Jan 2019
EventInternational Symposium on Life-Cycle Civil Engineering 2018 - Ghent, Belgium
Duration: 28 Oct 201831 Oct 2018
Conference number: 6th
http://www.ialcce2018.org/

Publication series

NameLife-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018

Conference

ConferenceInternational Symposium on Life-Cycle Civil Engineering 2018
Abbreviated titleIALCCE 2018
CountryBelgium
CityGhent
Period28/10/1831/10/18
Internet address

Cite this

Khan, M. S., Ghosh, S., Ghosh, J., & Caprani, C. (2019). Metamodeling strategies for value of information computation. In D. M. Frangopol, R. Caspeele, & L. Taerwe (Eds.), Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018 (pp. 2169-2174). (Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018). CRC Press.
Khan, M. S. ; Ghosh, S. ; Ghosh, J. ; Caprani, C. / Metamodeling strategies for value of information computation. Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018. editor / Dan M. Frangopol ; Robby Caspeele ; Luc Taerwe. CRC Press, 2019. pp. 2169-2174 (Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018).
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abstract = "The benefits of structural health monitoring (SHM) within the life-cycle of a structure include reducing risk, quantifying uncertainties and hence prevention of unnecessary maintenance actions. Value of information (VoI) is one such indicator that has been frequently used to formally quantify the benefit of SHM. Adopting a life-cycle perspective of the incurred costs typically due to failure and maintenance, VoI is defined as the difference between the costs with and without SHM information. Hence, VoI can also be used to compare different SHM strategies and instruments. However, the application of VoI to realistic problems has so far been restricted due to a number of issues, of which the computational complexity is the most significant. As the structural model and the maintenance strategy become more comprehensive (and realistic), the evaluation of VoI becomes intractable due to the increasing number of decision/event possibilities. Metamodeling or surrogate modelling strategies are widely adopted to approximate complex models into simpler functional forms using a limited number of simulations. In this paper, we investigate polynomial chaos expansion (PCE) and a kriging metamodelling framework for VoI computation and demonstrate it for a structural component undergoing linear degradation. The efficiency of the metamodelling strategies is evaluated against a crude Monte Carlo sampling based approach. The reduction in computation costs can enable the implementation of VoI in realistic scenarios. Options for further improvement in the metamodel efficiency are also discussed.",
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Khan, MS, Ghosh, S, Ghosh, J & Caprani, C 2019, Metamodeling strategies for value of information computation. in DM Frangopol, R Caspeele & L Taerwe (eds), Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018. Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018, CRC Press, pp. 2169-2174, International Symposium on Life-Cycle Civil Engineering 2018, Ghent, Belgium, 28/10/18.

Metamodeling strategies for value of information computation. / Khan, M. S.; Ghosh, S.; Ghosh, J.; Caprani, C.

Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018. ed. / Dan M. Frangopol; Robby Caspeele; Luc Taerwe. CRC Press, 2019. p. 2169-2174 (Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018).

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

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M3 - Conference Paper

SN - 9781138626331

T3 - Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018

SP - 2169

EP - 2174

BT - Life-Cycle Analysis and Assessment in Civil Engineering

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PB - CRC Press

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Khan MS, Ghosh S, Ghosh J, Caprani C. Metamodeling strategies for value of information computation. In Frangopol DM, Caspeele R, Taerwe L, editors, Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018. CRC Press. 2019. p. 2169-2174. (Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018).