3D printed energy harvesters for railway bridges-Design optimisation
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Other documents of the author: Cámara Molina, Javier Cristóbal; Moliner, Emma; Martínez-Rodrigo, María D.; Connolly, D. P.; Yurchenko, D.; Galvín, Pedro; Romero, A.
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comunitat-uji-handle3:10234/8617
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Title
3D printed energy harvesters for railway bridges-Design optimisationAuthor (s)
Date
2023Publisher
ElsevierBibliographic citation
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.Type
info:eu-repo/semantics/articlePublisher version
https://www.sciencedirect.com/science/article/pii/S0888327023000407Version
info:eu-repo/semantics/publishedVersionSubject
Abstract
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. [-]
Is part of
Mechanical Systems and Signal Processing 190 (2023) 110133Funder Name
Ministerio de Ciencia, Innovación y Universidades | Programa Operativo FEDER 2014-2020 | Centro Informático Científico de Andalucía (CICA)
Project code
PID2019-109622RB | US-126491
Rights
info:eu-repo/semantics/openAccess
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