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dc.contributor.authorCorinne Curt
dc.contributor.authorMarc Le Goc
dc.contributor.authorLucile Torres
dc.contributor.authorIsmail Fakhfakh
dc.date.accessioned2017-12-16T09:17:31Z
dc.date.available2017-12-16T09:17:31Z
dc.date.issued2017
dc.identifier.other%28ASCE%29CP.1943-5487.0000670.pdf
dc.identifier.urihttp://138.201.223.254:8080/yetl1/handle/yetl/4241042
dc.description.abstractA dam diagnosis method based on a multimodel approach is proposed, and structural, functional, behavioral, and perception models are defined. The modeling process treats a dam as a connected network of elements and defines models for each component. The diagnosis algorithms compare actual and expected behaviors from visual and instrumental measurements. The method is generic and can be applied to different types of dam. An application was carried out on a real case study composed of a homogeneous dam affected by deterioration phenomena due to poor design and building conditions. The different models implemented and algorithms developed, coupled with the modeling approach, allow for the early detection and explanation of the deterioration of dam behavior.
dc.publisherAmerican Society of Civil Engineers
dc.titleMultimodel-Based Diagnosis of Hydraulic Dams
dc.typeJournal Paper
dc.journal.volume31
dc.journal.issue5
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/(ASCE)CP.1943-5487.0000670
dc.treeJournal of Computing in Civil Engineering:;2017:;Volume ( 031 ):;issue: 005
dc.contenttypeFulltext


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