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  5. Identification of bridge mode shapes using a passing vehicle
 
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Identification of bridge mode shapes using a passing vehicle

Author(s)
O'Brien, Eugene J.  
Malekjafarian, Abdollah  
Uri
http://hdl.handle.net/10197/7045
Date Issued
2015-07-03
Date Available
2015-09-16T14:33:19Z
Abstract
This paper describes the Short Time Frequency Domain Decomposition (STFDD) method for identification of bridge mode shapes using the responses measured in a passing vehicle. Several segments are defined on a bridge and a truck-trailers system is employed to measure the signals. Subtraction of the responses measured from following axles on the truck-trailers is used to remove the effect of road profile. The sensitivity of the STFDD method to sampling time interval and vehicle velocity is investigated using numerical studies. It is shown that selecting an optimum time interval may improve the accuracy of the results obtained. Furthermore, keeping vehicle speed below 4 m/s provides enough data for successful identification of bridge mode shapes.
Type of Material
Conference Publication
Publisher
International Society for Structural Health Monitoring of Intelligent Infrastructure
Copyright (Published Version)
2015 the Authors
Subjects

Finite element modell...

Vehicle bridge intera...

Short time frequency ...

Vehicle speed

Web versions
http://www.shmii2015.org/
Language
English
Status of Item
Peer reviewed
Journal
Proceedings of the 7th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII 2015)
Conference Details
7th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Torino, Italy, July, 2015
ISBN
9781510821071
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

C169_Turin_finalpaper_161_as_sub.pdf

Size

788.63 KB

Format

Adobe PDF

Checksum (MD5)

2b1173096bdafcdbae6dd3b7d0d33c17

Owning collection
Civil Engineering Research Collection
Mapped collections
Earth Institute 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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