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Predicting seismic damage on concrete gravity dams: a review

dc.authorid Soysal, Berat Feyza/0000-0002-4911-3757
dc.authorscopusid 8685725400
dc.authorscopusid 57000330200
dc.authorwosid Arici, Yalin/Aar-7452-2020
dc.authorwosid Soysal, Berat Feyza/Aad-1354-2021
dc.contributor.author Arici, Yalin
dc.contributor.author Soysal, Berat Feyza
dc.contributor.authorID 157572 tr_TR
dc.contributor.other İnşaat Mühendisliği
dc.date.accessioned 2024-05-08T08:24:54Z
dc.date.available 2024-05-08T08:24:54Z
dc.date.issued 2024
dc.department Çankaya University en_US
dc.department-temp [Arici, Yalin] Middle East Tech Univ, Civil Engn Dept, Ankara, Turkiye; [Soysal, Berat Feyza] Cankaya Univ, Civil Engn Dept, Ankara, Turkiye en_US
dc.description Soysal, Berat Feyza/0000-0002-4911-3757 en_US
dc.description.abstract The seismic assessment of concrete gravity dams is a problem of prediction of cracking and the corresponding consequences. With the widespread use of general-purpose finite element programs, the work in the field has shifted towards quantifying the behaviour in a framework for assessment. The nonlinear analysis and coupling with foundation-reservoir interaction, conversely, is still a challenging task. The modelling approach has significant effects on the analysis results and the assessment framework. The field remains an active area for research with many outstanding issues regarding damage quantification and assessment compared to any other major infrastructure component. A comprehensive overview of the seismic assessment of gravity dams is presented in this work with the goal to outline the issues in the field. Different models and modelling choices are compared in the context of damaged state assessment of gravity dams. The links between practical difficulties and theoretical issues are critically discussed. The aleatoric and epistemic uncertainties in the field, and their sources, are presented. Areas of future work are identified for improvement in seismic assessment as well as reducing and quantifying the uncertainties in the prediction of damaged states for concrete gravity dams. en_US
dc.description.publishedMonth 10
dc.description.sponsorship Scientific and Technological Research Council of Turkey (TUBITAK) [116M524] en_US
dc.description.sponsorship Part of this study was conducted with the funding provided by The Scientific and Technological Research Council of Turkey (TUBITAK) under the grant 116M524. en_US
dc.description.woscitationindex Science Citation Index Expanded
dc.identifier.citation Arıcı, Yalın; Soysal, berat Feyza. (2022). "Predicting seismic damage on concrete gravity dams: a review", Structure And Infrastructure Engineering. en_US
dc.identifier.doi 10.1080/15732479.2022.2141270
dc.identifier.endpage 1373 en_US
dc.identifier.issn 1573-2479
dc.identifier.issn 1744-8980
dc.identifier.issue 9 en_US
dc.identifier.scopus 2-s2.0-85141579482
dc.identifier.scopusquality Q1
dc.identifier.startpage 1354 en_US
dc.identifier.uri https://doi.org/10.1080/15732479.2022.2141270
dc.identifier.volume 20 en_US
dc.identifier.wos WOS:000880360200001
dc.identifier.wosquality Q2
dc.institutionauthor Albostan, Berat Feyza
dc.language.iso en en_US
dc.publisher Taylor & Francis Ltd en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 5
dc.subject Damage en_US
dc.subject Damage Assessment en_US
dc.subject Dams en_US
dc.subject Dam Safety en_US
dc.subject Earthquake Engineering en_US
dc.subject Finite Element Method en_US
dc.subject Nonlinear Analysis en_US
dc.subject Performance Characteristics en_US
dc.subject Seismic Analysis en_US
dc.title Predicting seismic damage on concrete gravity dams: a review tr_TR
dc.title Predicting Seismic Damage on Concrete Gravity Dams: a Review en_US
dc.type Article en_US
dc.wos.citedbyCount 4
dspace.entity.type Publication
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relation.isAuthorOfPublication.latestForDiscovery 01bdb95f-52ae-4a94-bb84-52747e07585b
relation.isOrgUnitOfPublication 77a9f192-0d56-4f8e-adf2-a1c91a7124c9
relation.isOrgUnitOfPublication.latestForDiscovery 77a9f192-0d56-4f8e-adf2-a1c91a7124c9

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