Automated 3DGPR Analysis for Concrete Pavement Evaluation
The objective of this project is to identify missing, misplaced, or misaligned dowel and tie bars, voids under joints, and other deficiencies in concrete pavement by automating and improving upon the accuracy and repeatability of the analysis of 3DGPR data. The scope will include collection of 3DGPR data on concrete pavement sections at various field sites and on laboratory test slabs, and using the collected data to develop analysis routines that can be used by Department of Transportation (DOT) personnel to evaluate the conditions of interest. 3DGPR is a relatively new technology for subsurface condition evaluation. It has been implemented by state DOTs through the SHRP2 R06D IAP program and more recently as part of TPF-5(385) and is currently the primary technology being considered in TPF-5(504) led by State. 3DGPR differs from conventional Ground Penetrating Radar (GPR) in that it provides detailed information across the width of a lane, enabling it to detect tie bars, dowel bars, and other spatial features that might be missed by conventional GPR systems. Qualitative review of 3DGPR data can reveal important features in small sections of pavement, but qualitative review requires special expertise and is not practical for larger pavement sections. The purpose of this project is to automate the analysis of the 3DGPR data in a way that produces the relevant useful information needed by the owner agency for making decisions. This collaborative project combines the expertise of Contractor in 3DGPR data acquisition and processing with the expertise of the Marquette University in GPR automated data analysis and machine learning.
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Supplemental Notes:
- National Road Research Alliance Study TPF-5(466)
Language
- English
Project
- Status: Active
- Funding: $156794
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Contract Numbers:
1055518
- Sponsor Organizations: St. Paul, MN United States 55155
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Managing Organizations:
Minnesota Department of Transportation
395 John Ireland Boulevard
St Paul, MN United States 55155 -
Project Managers:
Dao, Shongtao
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Performing Organizations:
21G Olympia Avenue, Suite 45
Woburn, MA United States 01801 -
Principal Investigators:
Maser, Kenneth
- Start Date: 20240216
- Expected Completion Date: 20260131
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Automation; Concrete pavements; Data analysis; Data collection; Ground penetrating radar; Information processing; Machine learning; Pavement maintenance; State departments of transportation
- Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Pavements;
Filing Info
- Accession Number: 01908996
- Record Type: Research project
- Source Agency: Minnesota Department of Transportation
- Contract Numbers: 1055518
- Files: RIP, STATEDOT
- Created Date: Feb 20 2024 2:42PM