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  5. Vibration energy harvesting based monitoring of an operational bridge undergoing forced vibration and train passage
 
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Vibration energy harvesting based monitoring of an operational bridge undergoing forced vibration and train passage

Author(s)
Cahill, Paul  
Hazra, Budhaditya  
Karoumi, Raid  
Mathewson, Alan  
Pakrashi, Vikram  
Uri
http://hdl.handle.net/10197/10349
Date Issued
2018-06-01
Date Available
2019-05-08T12:45:26Z
Embargo end date
2020-01-12
Abstract
The application of energy harvesting technology for monitoring civil infrastructure is a bourgeoning topic of interest. The ability of kinetic energy harvesters to scavenge ambient vibration energy can be useful for large civil infrastructure under operational conditions, particularly for bridge structures. The experimental integration of such harvesters with full scale structures and the subsequent use of the harvested energy directly for the purposes of structural health monitoring shows promise. This paper presents the first experimental deployment of piezoelectric vibration energy harvesting devices for monitoring a full-scale bridge undergoing forced dynamic vibrations under operational conditions using energy harvesting signatures against time. The calibration of the harvesters is presented, along with details of the host bridge structure and the dynamic assessment procedures. The measured responses of the harvesters from the tests are presented and the use the harvesters for the purposes of structural health monitoring (SHM) is investigated using empirical mode decomposition analysis, following a bespoke data cleaning approach. Finally, the use of sequential Karhunen Loeve transforms to detect train passages during the dynamic assessment is presented. This study is expected to further develop interest in energy-harvesting based monitoring of large infrastructure for both research and commercial purposes.
Sponsorship
Irish Research Council
Science Foundation Ireland
Type of Material
Journal Article
Publisher
Elsevier
Journal
Mechanical Systems and Signal Processing
Volume
106
Start Page
265
End Page
283
Copyright (Published Version)
2018 Elsevier
DOI
10.1016/j.ymssp.2018.01.007
Language
English
Status of Item
Peer reviewed
ISSN
0888-3270
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
No Thumbnail Available
Name

MSSP_EH_Bridge_Revised.pdf

Size

1.49 MB

Format

Adobe PDF

Checksum (MD5)

2f2b054de168104165b37e2dab4af471

Owning collection
Mechanical & Materials Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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