A bridge monitoring tool based on bridge and vehicle accelerations

Files in This Item:
File Description SizeFormat 
Hester_Gonzalez_2014_A_bridge_monitoring_tool_based_on_bridge_and_vehicle_accelerations.pdf2.77 MBAdobe PDFDownload
Title: A bridge monitoring tool based on bridge and vehicle accelerations
Authors: Hester, David
González, Arturo
Permanent link: http://hdl.handle.net/10197/6291
Date: 1-Apr-2014
Abstract: Previous research on damage detection based on the response of a structure to a moving load has reported decay in accuracy with increasing load speed. Using a 3D vehicle–bridge interaction model, this paper shows that the area under the filtered acceleration response of the bridge increases with increasing damage, even at highway load speeds. Once a datum reading is established, the area under subsequent readings can be monitored and compared with the baseline reading, if an increase is observed it may indicate the presence of damage. The sensitivity of the proposed approach to road roughness and noise is tested in several damage scenarios. The possibility of identifying damage in the bridge by analysing the acceleration response of the vehicle traversing it is also investigated. While vehicle acceleration is shown to be more sensitive to road roughness and noise and therefore less reliable than direct bridge measurements, damage is successfully identified in favourable scenarios.
Funding Details: European Commission - Seventh Framework Programme (FP7)
Type of material: Journal Article
Publisher: Taylor and Francis
Copyright (published version): 2014 Taylor and Francis
Keywords: Bridges;Damage;Structural health monitoring;Dynamics;Structural modelling;Intelligent infrastructure
DOI: 10.1080/15732479.2014.890631
Language: en
Status of Item: Peer reviewed
Appears in Collections:Civil Engineering Research Collection

Show full item record

SCOPUSTM   
Citations 50

5
Last Week
0
Last month
checked on Jun 22, 2018

Page view(s) 50

55
checked on May 25, 2018

Download(s) 20

238
checked on May 25, 2018

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.