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  5. Fleet Monitoring - Using Sensors in a Fleet of Passing Vehicles to Monitor the Health of Bridges
 
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Fleet Monitoring - Using Sensors in a Fleet of Passing Vehicles to Monitor the Health of Bridges

Author(s)
O'Brien, Eugene J.  
Ren, Yifei  
Wang, Shuo  
Keenahan, Jennifer  
McCrum, Daniel  
Uri
http://hdl.handle.net/10197/13161
Date Issued
2021-09-17
Date Available
2022-09-29T12:03:49Z
Abstract
This paper proposes the use of a fleet of instrumented vehicles to monitor the condition of infrastructure and bridges. It is anticipated that data from privately owned vehicles with low-cost accelerometer and GPS data, will be available for this purpose in the future. An inverse version of the well known Newmark-Beta method is proposed to determine road/rail surface profile from measured accelerations. Some results are reported from an instrumented train that made repeat runs on railway track over a period of a month. For bridge health monitoring, the concept of a moving reference influence line is proposed as a damage indicator. It is shown in simulation to give good indications of bearing damage in a simply supported bridge.
Sponsorship
University College Dublin
Other Sponsorship
Chinese Scholarship Council
Type of Material
Conference Publication
Subjects

Bridge

Fleet monitoring

Drive-by

SHM

Structural health mon...

Web versions
https://ec-intl.co.jp/evaces2021/
Language
English
Status of Item
Peer reviewed
Conference Details
The 9th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, Online Event, 14-17 September 2021
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Name

2021_EVACES_Tokyo- Fleet monitoring - using sensors in a fleet of passing vehicles to monitory health of bridge.pdf

Size

629.35 KB

Format

Adobe PDF

Checksum (MD5)

019b1352689c0d5ea6c57c587dbf83aa

Owning collection
Civil 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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