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Use of SSHM data for dynamic behavior analysis and damage detection on large dams. The cases of Cabril dam and Cahora Bassa dam

dc.contributor.authorAlegre, André
dc.contributor.authorMENDES, PAULO
dc.contributor.authorCarvalho, Ezequiel
dc.contributor.authorMatsinhe, Bruno
dc.contributor.authorOliveira, Sérgio
dc.contributor.authorProença, Jorge
dc.date.accessioned2021-07-23T09:17:09Z
dc.date.available2021-07-23T09:17:09Z
dc.date.issued2021
dc.description.abstractThis paper presents recent results from studies on the dynamic behavior of large concrete dams in normal operational conditions, based on the comparison between experimental results, extracted from continuous dynamic monitoring data, and numerical results from finite element analysis. The case studies are Cabril dam (132 m high), in Portugal, and Cahora Bassa dam (170 m high), in Mozambique, two large arch dams that have been under Seismic and Structural Health Monitoring since 2008 and 2010, respectively. The monitoring data analysis is performed using DamModalID, a program specifically prepared for automatic frequency domain modal identification, while the numerical simulations are carried out utilizing DamDySSA4.0, a 3D finite element program developed for dynamic analysis of concrete dams. The focus in this work is on studying the evolution of the main natural frequencies over time, namely (i) to analyze the influence of the reservoir water level variations on the dynamic properties of the dam-reservoir-foundation system and hence on the frequencies’ values, and (ii) to evaluate the correlation with the deterioration and ageing of dams, ultimately aiming at the detection of eventual structural changes due to concrete damage. Based on the presented results, the relation between the frequencies’ values and the water level variations made it possible to verify that the dynamic response of both dams is clearly influenced by the reservoir level. Furthermore, the comparison between the identified frequencies and the values computed with reference models, considering linear behavior, enabled to conclude that the dynamic behavior of both dams has not changed over the last decade, despite the existing deterioration phenomena, and thus they can continue operating normally.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationALEGRE, André; [et al] – Use of SSHM data for dynamic behavior analysis and damage detection on large dams. The cases of Cabril dam and Cahora Bassa dam. In Proceedings of the 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 10. Porto, Portugal. Pp. 1-7pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/13576
dc.language.isoengpt_PT
dc.relationSFRH/BD/116417/2016 - FCTpt_PT
dc.subjectCabril dampt_PT
dc.subjectCahora Bassa dampt_PT
dc.subjectSSHM systemspt_PT
dc.subjectFinite element analysispt_PT
dc.subjectDynamic behaviorpt_PT
dc.subjectDamage detectionpt_PT
dc.titleUse of SSHM data for dynamic behavior analysis and damage detection on large dams. The cases of Cabril dam and Cahora Bassa dampt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlace30 June-02 July 2021 - Porto, Portugalpt_PT
oaire.citation.endPage7pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title10th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 10pt_PT
person.familyNameHENRIQUES MENDES
person.familyNameCarvalho
person.familyNameMartins de Oliveira
person.familyNameSilveira Filipe Mascarenhas Proença
person.givenNamePAULO JORGE
person.givenNameEzequiel
person.givenNameSérgio Bruno
person.givenNameJorge Miguel
person.identifier.ciencia-id8516-1F7F-1528
person.identifier.ciencia-id7F19-0A6E-5F4F
person.identifier.ciencia-id011F-09B7-3D52
person.identifier.orcid0000-0002-4833-5091
person.identifier.orcid0000-0002-5687-4925
person.identifier.orcid0000-0003-3309-5897
person.identifier.orcid0000-0001-6308-7228
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublicatione07104d8-c5a0-4b75-b22c-1d5460b12437
relation.isAuthorOfPublication.latestForDiscovery6be8a80b-fa21-4c54-b4ba-4f8a188350e6

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