Energy harvesting analysis in railway bridges: an approach based on modal decomposition
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Other documents of the author: Romero, A.; Cámara Molina, Javier Cristóbal; Moliner, Emma; Galvín, Pedro; Martínez-Rodrigo, María D.
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comunitat-uji-handle2:10234/7035
comunitat-uji-handle3:10234/8617
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INVESTIGACIONMetadata
Title
Energy harvesting analysis in railway bridges: an approach based on modal decompositionAuthor (s)
Date
2021Publisher
ElsevierISSN
0888-3270; 1096-1216Bibliographic citation
ROMERO, A., et al. Energy harvesting analysis in railway bridges: An approach based on modal decomposition. Mechanical Systems and Signal Processing, 2021, vol. 160Type
info:eu-repo/semantics/articlePublisher version
https://www.sciencedirect.com/science/article/pii/S0888327021002430Version
info:eu-repo/semantics/submittedVersionSubject
Abstract
In this paper the authors investigate the energy harvesting in railway bridges and analyse the performance
under different operational conditions. An approximation based on modal superposition is proposed for the
... [+]
In this paper the authors investigate the energy harvesting in railway bridges and analyse the performance
under different operational conditions. An approximation based on modal superposition is proposed for the
computation of the energy harvested from train-induced bridge vibration. This approach is consistent with
the analytical modal solutions of the simply-supported Bernouilli-Euler beam transverse response under
moving loads. The influence of the bridge maximum dynamic response and cancellation phenomena, the
tuning effect of the harvester device and the relevance of different modal contributions on the harvested
energy are studied using a single-degree of freedom system as a simplistic mechanical approach. Later, a
piezoelectrically coupled lumped parameter model is used to investigate the available energy due to High-
Speed train passages at different circulating speeds. Finally, the feasibility of energy harvesting is evaluated
from the experimental data measured by the authors in a railway bridge from the Madrid-Sevilla High-Speed
line. The obtained results allow quantifying the harvested energy in a time window of three and a half hours
and twenty train passages. [-]
Is part of
Mechanical Systems and Signal Processing, 2021, vol. 160Funder Name
Ministerio de Economía y Competitividad | Ministerio de Ciencia e Innovación | Generalitat Valenciana | Andalusian Scientific Computing Centre (CICA)
Project code
BIA2016-75042-C2 | PID2019-109622RB | US-126491 | AICO2019/175
Project title or grant
FEDER Andalucía 2014–2020 Operational Program
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info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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