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dc.contributor.authorFernández-Navamuel, Ana
dc.contributor.authorZamora-Sánchez, Diego
dc.contributor.authorVarona-Poncela, Tomás
dc.contributor.authorJiménez-Fernández, Carlos
dc.contributor.authorDíez-Hernández, Jesús
dc.contributor.authorGarcía-Sánchez, David
dc.contributor.authorPardo, David
dc.date.accessioned2021-04-09T13:42:14Z
dc.date.available2021-04-09T13:42:14Z
dc.date.issued2021-01-11
dc.identifier.citationFernández-Navamuel, Ana, Diego Zamora-Sánchez, Tomás Varona-Poncela, Carlos Jiménez-Fernández, Jesús Díez-Hernández, David García-Sánchez, and David Pardo. “Vibration-Based SHM Strategy for a Real Time Alert System with Damage Location and Quantification.” European Workshop on Structural Health Monitoring (2021): 245–255. doi:10.1007/978-3-030-64594-6_25.en
dc.identifier.isbn978-303064593-9en
dc.identifier.issn2366-2557en
dc.identifier.urihttp://hdl.handle.net/11556/1104
dc.description.abstractWe present a simple and fully automatable vibration-based Structural Health Monitoring (SHM) alert system. The proposed method consists in applying an Automated Frequency Domain Decomposition (AFDD) algorithm to obtain the eigenfrequencies and mode shapes in real time from acceleration measurements, allowing to provide a diagnosis based on a Support Vector Machine algorithm trained with a database of the modal properties in undamaged and damaged scenarios accounting for temperature variability. The result is an alert system for controlling the correct performance of the structure in real time with a simple but efficient approach. Once the alert is triggered, the undamaged mode shapes (which could be previously stored in a database of modal parameters classified by temperature) and the current (damaged) mode shapes, can provide guidance for further application of Finite Element Model Updating (FEMU) techniques. The method is trained and validated with simulations from a FE model that is calibrated employing a genetic algorithm with real data from a short-term vibration measurement campaign on a truss railway bridge in Alicante (Spain).en
dc.description.sponsorshipThis project has received funding from the European Union’s Horizon 2020 research and innovation program under the grant agreement No 769373 (FORESEE project). This paper reflects only the author’s views. The European Commission and INEA are not responsible for any use that may be made of the information contained therein.en
dc.language.isoengen
dc.publisherSpringer, Chamen
dc.titleVibration-Based SHM Strategy for a Real Time Alert System with Damage Location and Quantificationen
dc.typeconferenceObjecten
dc.identifier.doi10.1007/978-3-030-64594-6_25en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/769373/EU/Future proofing strategies FOr RESilient transport networks against Extreme Events/FORESEEen
dc.rights.accessRightsembargoedAccessen
dc.subject.keywordsStructural health monitoringen
dc.subject.keywordsStructural dynamicsen
dc.subject.keywordsBridge maintenanceen
dc.subject.keywordsMachine learningen
dc.identifier.essn2366-2565en
dc.journal.titleLecture Notes in Civil Engineeringen
dc.page.final255en
dc.page.initial245en
dc.volume.number127en
dc.conference.titleEWSHM 2020: European Workshop on Structural Health Monitoringen


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