3D printed energy harvesters for railway bridges-Design optimisation
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Altres documents de l'autoria: Cámara Molina, Javier Cristóbal; Moliner, Emma; Martínez-Rodrigo, María D.; Connolly, D. P.; Yurchenko, D.; Galvín, Pedro; Romero, A.
Metadades
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INVESTIGACIONMetadades
Títol
3D printed energy harvesters for railway bridges-Design optimisationAutoria
Data de publicació
2023Editor
ElsevierCita bibliogràfica
CÁMARA-MOLINA, J. C., et al. 3D printed energy harvesters for railway bridges-Design optimisation. Mechanical Systems and Signal Processing, 2023, vol. 190, p. 110133.Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://www.sciencedirect.com/science/article/pii/S0888327023000407Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
This 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 ... [+]
This 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. [-]
Publicat a
Mechanical Systems and Signal Processing 190 (2023) 110133Entitat finançadora
Ministerio de Ciencia, Innovación y Universidades | Programa Operativo FEDER 2014-2020 | Centro Informático Científico de Andalucía (CICA)
Codi del projecte o subvenció
PID2019-109622RB | US-126491
Drets d'accés
info:eu-repo/semantics/openAccess
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