A vibration powered wireless mote on the Forth Road Bridge

Abstract

The conventional resonant-approaches to scavenge kinetic energy are typically confined to narrow and single-band frequencies. The vibration energy harvester device reported here combines both direct resonance and parametric resonance in order to enhance the power responsiveness towards more efficient harnessing of real-world ambient vibration. A packaged electromagnetic harvester designed to operate in both of these resonant regimes was tested in situ on the Forth Road Bridge. In the field-site, the harvester, with an operational volume of ~126 cm3, was capable of recovering in excess of 1 mW average raw AC power from the traffic-induced vibrations in the lateral bracing structures underneath the bridge deck. The harvester was integrated off-board with a power conditioning circuit and a wireless mote. Duty- cycled wireless transmissions from the vibration-powered mote was successfully sustained by the recovered ambient energy. This limited duration field test provides the initial validation for realising vibration-powered wireless structural health monitoring systems in real world infrastructure, where the vibration profile is both broadband and intermittent.

Publication DOI: https://doi.org/10.1088/1742-6596/660/1/012094
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences
Additional Information: Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Publication ISSN: 1742-6596
Last Modified: 27 May 2024 07:28
Date Deposited: 13 Nov 2019 11:24
Full Text Link:
Related URLs: https://iopscie ... 96/660/1/012094 (Publisher URL)
PURE Output Type: Conference article
Published Date: 2015-12-01
Authors: Jia, Yu (ORCID Profile 0000-0001-9640-1666)
Yan, Jize
Feng, Tao
Du, Sijun
Fidler, Paul
Soga, Kenichi
Middleton, Campbell
Seshia, Ashwin A

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License: Creative Commons Attribution


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