dc.creator | Jiménez Alonso, Javier Fernando | es |
dc.creator | López Martínez, Javier | es |
dc.creator | Blanco Claraco, José Luis | es |
dc.creator | González Díaz, Rocío | es |
dc.creator | Sáez Pérez, Andrés | es |
dc.date.accessioned | 2021-10-05T09:46:53Z | |
dc.date.available | 2021-10-05T09:46:53Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Jiménez 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.isbn | 978-84-17924-58-4 | es |
dc.identifier.uri | https://hdl.handle.net/11441/126455 | |
dc.description.abstract | In 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.sponsorship | Ministerio de Ciencia, Innovación y Universidades RTI2018‐ 094945‐B‐C21 | es |
dc.format | application/pdf | es |
dc.format.extent | 8 | es |
dc.language.iso | eng | es |
dc.publisher | Editorial Club Universitario | es |
dc.relation.ispartof | CMMoST 2019: 5th International Conference on Mechanical Models in Structural Engineering (2019), pp. 35-42. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Damage detection | es |
dc.subject | Structural health monitoring | es |
dc.subject | Topological data analysis | es |
dc.subject | Persistent homology | es |
dc.subject | Persistent entropy | es |
dc.subject | Supervised classification | es |
dc.title | A topological entropy‐based approach for damage detection of civil engineering structures | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII) | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Mecánica de Medios Continuos y Teoría de Estructuras | es |
dc.relation.projectID | RTI2018‐ 094945‐B‐C21 | es |
dc.relation.publisherversion | http://rua.ua.es/dspace/handle/10045/104638 | es |
dc.publication.initialPage | 35 | es |
dc.publication.endPage | 42 | es |
dc.eventtitle | CMMoST 2019: 5th International Conference on Mechanical Models in Structural Engineering | es |
dc.eventinstitution | Escuela Politécnica de Alicante | es |
dc.relation.publicationplace | Alicante, España | es |
dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades (MICINN). España | es |