Optimal sampling placement based on value of information

I. Yoshida, Y. Otake, Y. Honjo

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

Abstract

This paper proposes an efficient method to obtain optimal observation placement based on Value of Information (Vol), which can consider not only uncertainty of estimation but risk reduction or benefit obtained by the information also. The proposed Vol-based objective function for optimal placement quantifies the risk reduction of decision making error considering the uncertainty of estimation in a Gaussian random field. The proposed method is applied to liquefaction investigation planning along an actual river embankment. The locations of the additional boring are determined by proposed Vol based method. The optimal number of additional boring locations is also evaluated for given penalty of decision-making error and observation cost.

Original languageEnglish
Title of host publicationLife-Cycle of Structural Systems
Subtitle of host publicationDesign, Assessment, Maintenance and Management - Proceedings of the 4th International Symposium on Life-Cycle Civil Engineering, IALCCE 2014
EditorsMitsuyoshi Akiyama, Hitoshi Furuta, Dan M. Frangopol
PublisherCRC Press/Balkema
Pages1362-1369
Number of pages8
ISBN (Print)9781138001206
Publication statusPublished - 2015 Jan 1
Externally publishedYes
Event4th International Symposium on Life-Cycle Civil Engineering, IALCCE 2014 - Tokyo, Japan
Duration: 2014 Nov 162014 Nov 19

Publication series

NameLife-Cycle of Structural Systems: Design, Assessment, Maintenance and Management - Proceedings of the 4th International Symposium on Life-Cycle Civil Engineering, IALCCE 2014

Other

Other4th International Symposium on Life-Cycle Civil Engineering, IALCCE 2014
CountryJapan
CityTokyo
Period14/11/1614/11/19

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Yoshida, I., Otake, Y., & Honjo, Y. (2015). Optimal sampling placement based on value of information. In M. Akiyama, H. Furuta, & D. M. Frangopol (Eds.), Life-Cycle of Structural Systems: Design, Assessment, Maintenance and Management - Proceedings of the 4th International Symposium on Life-Cycle Civil Engineering, IALCCE 2014 (pp. 1362-1369). (Life-Cycle of Structural Systems: Design, Assessment, Maintenance and Management - Proceedings of the 4th International Symposium on Life-Cycle Civil Engineering, IALCCE 2014). CRC Press/Balkema.