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Project

#224 Assessing Damage to Bridge Structures


Principal Investigator
James Garrett
Status
Completed
Start Date
Jan. 1, 2010
End Date
Dec. 31, 2010
Project Type
Research Advanced
Grant Program
Private Funding
Grant Cycle
2010 Traffic21
Visibility
Public

Abstract

Determine the feasibility of a low cost on-vehicle sensor system for assessing damage in bridges using multi-resolution signal processing techniques.    
Description
This project aims at using pseudo data from idealized vehicle-bridge systems, available data from a moving bus, and data acquired in the future from a new vehicle and bridge, to study the feasibility of a new approach for bridge structural health monitoring. The approach has the potential of causing a transformative change in the way bridges are monitored, based on the combination of two special features: 1) The bridge monitoring data is obtained from moving vehicles, and, is therefore, considered as an indirect bridge instrumentation; 2) The proposed structural classification mechanism makes use of highly accurate signal processing techniques used currently for biomedical imaging applications, such as multiresolution classification and wavelets analysis.  
Timeline
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Strategic Description / RD&T

    
Deployment Plan
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Expected Outcomes/Impacts
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Expected Outputs

    
TRID


    

Individuals Involved

Email Name Affiliation Role Position
garrett@cmu.edu Garrett, James CIT Deans Office PI Faculty - Adjunct

Budget

Amount of UTC Funds Awarded
$47601.14
Total Project Budget (from all funding sources)
$50000.00

Documents

Type Name Uploaded
Project Brief 2009_-_Garrett_BUS-DATA-DRIVEN_APPROACH_FOR_ASSESSING_DAMAGE_IN_BRIDGE_STRUCTURES_USING_MULTIRESOLUTION_SIGNAL_PROCESSING_TECHNIQUES.pdf Aug. 15, 2018, 5:01 a.m.

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