Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
  • Colleges & Schools
  • Statistics
  • All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Engineering & Architecture
  3. School of Mechanical and Materials Engineering
  4. Mechanical & Materials Engineering Research Collection
  5. Vibration energy harvesting based monitoring of an operational bridge undergoing forced vibration and train passage
 
  • Details
Options

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

File(s)
FileDescriptionSizeFormat
Download MSSP_EH_Bridge_Revised.pdf1.49 MB
Author(s)
Cahill, Paul 
Hazra, Budhaditya 
Karoumi, Raid 
Mathewson, Alan 
Pakrashi, Vikram 
Uri
http://hdl.handle.net/10197/10349
Date Issued
01 June 2018
Date Available
08T12:45:26Z May 2019
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/
Owning collection
Mechanical & Materials Engineering Research Collection
Scopus© citations
81
Acquisition Date
Feb 3, 2023
View Details
Views
640
Last Week
3
Last Month
3
Acquisition Date
Feb 4, 2023
View Details
Downloads
335
Last Week
3
Last Month
8
Acquisition Date
Feb 4, 2023
View Details
google-scholar
University College Dublin Research Repository UCD
The Library, University College Dublin, Belfield, Dublin 4
Phone: +353 (0)1 716 7583
Fax: +353 (0)1 283 7667
Email: mailto:research.repository@ucd.ie
Guide: http://libguides.ucd.ie/rru

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement