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dc.creatorCámara Molina, Javier Cristóbales
dc.creatorMoliner, Emmaes
dc.creatorMartínez Rodríguez, María Doloreses
dc.creatorConnolly, David P.es
dc.creatorYurchenko, D.es
dc.creatorGalvín, Pedroes
dc.creatorRomero Ordóñez, Antonioes
dc.date.accessioned2023-03-22T07:14:39Z
dc.date.available2023-03-22T07:14:39Z
dc.date.issued2023-05
dc.identifier.citationCámara Molina, J.C., Moliner, E., Martínez Rodríguez, M.D., Connolly, D.P., Yurchenko, D., Galvín, P. y Romero Ordóñez, A. (2023). 3D printed energy harvesters for railway bridges-Design optimisation. Mechanical Systems and Signal Processing, 190 (110133). https://doi.org/10.1016/j.ymssp.2023.110133.
dc.identifier.issn0888-3270es
dc.identifier.issn1096-1216es
dc.identifier.urihttps://hdl.handle.net/11441/143515
dc.description.abstractThis paper investigates the optimal design of 3D printed energy harvesters for railway bridges. The type of harvester studied is a cantilever bimorph beam with a mass at the tip and a load resistance. These parameters are adjusted to find the optimal design that tunes the harvester to the fundamental frequency of the bridge. An analytical model based on a variational formulation to represent the electromechanical behaviour of the device is presented. The optimisation problem is solved using a genetic algorithm with constraints of geometry and structural integrity. The proposed procedure is implemented in the design and manufacture of an energy harvesting device for a railway bridge on an in-service high-speed line. To do so, first the methodology is validated experimentally under laboratory conditions and shown to offer strong performance. Next the in-situ railway bridge is instrumented using accelerometers and the results used to evaluate energy harvesting performance. The results show the energy harvested in a time window of three and a half hours (20 train passages) is E=109.32 mJ . The proposed methodology is particularly useful for bridges with fundamental mode shapes above 4.5 Hz, however optimal design curves are also presented for the most common railway bridges found in practice. A novelty of this work is the use of additive manufacturing to 3D print energy harvesters, thus maximising design flexibility and energy performance.es
dc.formatapplication/pdfes
dc.format.extent22 p.es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofMechanical Systems and Signal Processing, 190 (110133).
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectPiezoelectric energy harvestinges
dc.subjectRailway bridgeses
dc.subjectHigh-speed traines
dc.subjectCantilever bimorph beames
dc.subjectAdditive manufacturinges
dc.subjectGenetic algorithmes
dc.title3D printed energy harvesters for railway bridges-Design optimisationes
dc.typeinfo:eu-repo/semantics/articlees
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 Mecánica de Medios Continuos y Teoría de Estructurases
dc.relation.projectIDPID2019-109622RBes
dc.relation.projectIDUS-126491es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0888327023000407es
dc.identifier.doi10.1016/j.ymssp.2023.110133es
dc.contributor.groupUniversidad de Sevilla. TEP245: Ingeniería de las Estructurases
dc.journaltitleMechanical Systems and Signal Processinges
dc.publication.volumen190es
dc.publication.issue110133es
dc.contributor.funderSpanish Ministry of Science, Innovation and Universities project PID2019-109622RBes
dc.contributor.funderFEDER Andalucía 2014–2020 US-126491es

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