@inproceedings{797607ce064a4eff995766a74cd3b7cf,
title = "Optimal sampling placement based on value of information",
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.",
author = "I. Yoshida and Y. Otake and Y. Honjo",
note = "Publisher Copyright: {\textcopyright} 2015 Taylor & Francis Group, London.; 4th International Symposium on Life-Cycle Civil Engineering, IALCCE 2014 ; Conference date: 16-11-2014 Through 19-11-2014",
year = "2015",
doi = "10.1201/b17618-201",
language = "English",
isbn = "9781138001206",
series = "Life-Cycle of Structural Systems: Design, Assessment, Maintenance and Management - Proceedings of the 4th International Symposium on Life-Cycle Civil Engineering, IALCCE 2014",
publisher = "CRC Press/Balkema",
pages = "1362--1369",
editor = "Hitoshi Furuta and Frangopol, {Dan M.} and Mitsuyoshi Akiyama",
booktitle = "Life-Cycle of Structural Systems",
}