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http://dx.doi.org/10.12989/smm.2017.4.1.085

Reliable monitoring of embankment dams with optimal selection of geotechnical instruments  

Masoumi, Isa (Department of Mining Engineering, Science and Research Branch, Islamic Azad University)
Ahangari, Kaveh (Department of Mining Engineering, Science and Research Branch, Islamic Azad University)
Noorzad, Ali (Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University)
Publication Information
Structural Monitoring and Maintenance / v.4, no.1, 2017 , pp. 85-105 More about this Journal
Abstract
Monitoring is the most important part of the construction and operation of the embankment dams. Applied instruments in these dams should be determined based on dam requirements and specifications. Instruments selection considered as one of the most important steps of monitoring plan. Competent instruments selection for dams is very important, as inappropriate selection causes irreparable loss in critical condition. Lack of a systematic method for determining instruments has been considered as a problem for creating an efficient selection. Nowadays, decision making methods have been used widely in different sciences for optimal determination and selection. In this study, the Multi-Attribute Decision Making is applied by considering 9 criteria and categorisation of 8 groups of geotechnical instruments. Therefore, the Analytic Hierarchy Process and Multi-Criteria Optimisation and Compromise Solution methods are employed in order to determine the attributes' importance weights and to prioritise of instruments for embankment dams, respectively. This framework was applied for a rock fill with clay core dam. The results indicated that group decision making optimizes the selection and prioritisation of monitoring instruments for embankment dams, and selected instruments are reliable based on the dam specifications.
Keywords
risk management; decision analysis; embankments dams; geotechnical instrument; monitoring; multi-attribute decision making; Analytic Hierarchy Process; Multi-Criteria Optimisation and Compromise Solution;
Citations & Related Records
Times Cited By KSCI : 10  (Citation Analysis)
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