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dc.creatorJiménez Alonso, Javier Fernandoes
dc.creatorLópez Martínez, Javieres
dc.creatorBlanco Claraco, José Luises
dc.creatorGonzález Díaz, Rocíoes
dc.creatorSáez Pérez, Andréses
dc.date.accessioned2021-10-05T09:46:53Z
dc.date.available2021-10-05T09:46:53Z
dc.date.issued2019
dc.identifier.citationJiménez Alonso, J.F., López Martínez, J., Blanco Claraco, J.L., González Díaz, R. y Sáez Pérez, A. (2019). A topological entropy‐based approach for damage detection of civil engineering structures. En CMMoST 2019: 5th International Conference on Mechanical Models in Structural Engineering (35-42), Escuela Politécnica de Alicante: Editorial Club Universitario.
dc.identifier.isbn978-84-17924-58-4es
dc.identifier.urihttps://hdl.handle.net/11441/126455
dc.description.abstractIn this study, a new method based on topological entropy, the so‐called persistent entropy, is presented for addressing the damage detection problem in civil engineering structures. The efficiency of the algorithm is certificated by the stability theorem for persistent entropy. The method, which has been previously used for the classification of DC electrical motors, has been adapted herein to solve the supervised classification damage detection problem. For this purpose, a laboratory footbridge was designed, built and subsequently damaged. Two states of the structure were considered: (i) undamaged and (ii) damaged. Its response under ambient conditions was recorded both numerically and experimentally. Later, its persistent entropy was computed under the different situations. Finally, it was checked that there is a clear relationship between the stiffness of the structure and its persistent entropy. Therefore, the proposed method can be considered as an available tool for the damage detection of civil engineering structures.es
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades RTI2018‐ 094945‐B‐C21es
dc.formatapplication/pdfes
dc.format.extent8es
dc.language.isoenges
dc.publisherEditorial Club Universitarioes
dc.relation.ispartofCMMoST 2019: 5th International Conference on Mechanical Models in Structural Engineering (2019), pp. 35-42.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDamage detectiones
dc.subjectStructural health monitoringes
dc.subjectTopological data analysises
dc.subjectPersistent homologyes
dc.subjectPersistent entropyes
dc.subjectSupervised classificationes
dc.titleA topological entropy‐based approach for damage detection of civil engineering structureses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Matemática Aplicada I (ETSII)es
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Mecánica de Medios Continuos y Teoría de Estructurases
dc.relation.projectIDRTI2018‐ 094945‐B‐C21es
dc.relation.publisherversionhttp://rua.ua.es/dspace/handle/10045/104638es
dc.publication.initialPage35es
dc.publication.endPage42es
dc.eventtitleCMMoST 2019: 5th International Conference on Mechanical Models in Structural Engineeringes
dc.eventinstitutionEscuela Politécnica de Alicantees
dc.relation.publicationplaceAlicante, Españaes
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (MICINN). Españaes

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