Optimizing Field Data Collection & Developing Advanced GPR Processing Modules

Goulias, Dimitrios; University of Maryland (College Park, Md.). Department of Civil and Environmental Engineering

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Optimizing Field Data Collection & Developing Advanced GPR Processing Modules

2020-04-01
By Goulias, Dimitrios

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English

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Creators:

Goulias, Dimitrios
Corporate Creators:

University of Maryland (College Park, Md.). Department of Civil and Environmental Engineering
Corporate Contributors:

Maryland. Dept. of Transportation ; Maryland. State Highway Administration. Office of Policy & Research ; United States. Federal Highway Administration. State Planning and Research Program (SPR)

Maryland. Dept. of Transportation ; Maryland. State Highway Administration. Office of Policy & Research ; United States. Federal Highway Administration. State Planning and Research Program (SPR) Less -
Subject/TRT Terms:

[+]

Bituminous Overlays Bridge Decks Condition Surveys Data Collection Delamination Ground Penetrating Radar
Publication/ Report Number:

MD-20-SHA/UM/4-54
Resource Type:

Tech Report
Geographical Coverage:

Maryland
Edition:

SPR-B Final Report (December 2017-December 2019)
Corporate Publisher:

Maryland. State Highway Administration. Office of Policy & Research
Abstract:

Over the past several years Maryland Department of Transportation State Highway Administration (MDOT SHA) developed a Ground Penetration Radar (GPR) data collection plan for bridge decks. GPR data was collected and analyzed to monitor several hundred bridge decks. MDOT SHA worked with the Maryland Environmental Services (MES) and the University of Maryland (UMD) to develop new analysis modules for concrete delamination and HMA overlay condition and evaluate the feasibility of higher-speed protocols for SF-GPR data collection. A bridge deck condition assessment model (BDCAM) was developed to estimate the deck condition and condition state. Deck condition is defined based on a fuzzy model of the various levels of defect and deterioration of the deck. The UMD study concluded that the BDCAM model estimates agree with the NBI values for 90.9% of the 219 bridge decks analyzed within two levels of the condition scale. The comparison of BDCAM analysis with state inspection deck reports for eight bridges provided consistent conclusions for seven out of the eight cases, all in the “fair” category. The study also concluded that it is possible to increase the GPR data acquisition speed from 10 mph to 13 mph on driving lanes with low surface roughness (IRI less than 100).
Format:

PDF
Funding:

SHA/UM/4-54
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:97c872053f5f68f5d2268ea02fe458e4322d970a2472e986617707e6e492053e
Download URL:

https://rosap.ntl.bts.gov/view/dot/55564/dot_55564_DS1.pdf
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Optimizing Field Data Collection & Developing Advanced GPR Processing Modules

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