Effective implementation of ground penetrating radar (GPR) for condition assessment & monitoring of critical infrastructure components of bridges and highways.
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Effective implementation of ground penetrating radar (GPR) for condition assessment & monitoring of critical infrastructure components of bridges and highways.

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      Recently Maryland State Highway Administration (SHA) started to explore use of Ground Penetrating Radar

      (GPR) technology to provide quantitative information for improved decision making and reduced operating

      costs. To take full advantage of the GPR capabilities, improved analysis techniques need to be developed and

      implemented. The objective of this study was to assist SHA engineers, technicians, and decision makers in

      their current effort to explore the use of GPR in assessing the condition of critical infrastructure components

      and to identify potential improvements in GPR data analysis. The research team closely interacted with

      representatives from selected divisions of the Office of Materials Technology (OMT) to identify potential

      GPR applications using existing equipment accessible to SHA, targeting critical high priority areas for

      analysis and improvement. In regards to pavement structures, a new methodology was suggested to improve

      the accuracy of GPR data analysis. The initial analysis and results indicated that Multi-scale Pavement GPR

      data Analysis (MPGA) has significant potential to add value and accuracy to pavement thickness data used in

      pavement management and rehabilitation analysis. The MPGA results indicate that pavement thickness data

      trends can be identified based on either automated or semi-automated procedures based on target variability

      levels of thickness uniformity, and thus can be used to efficiently evaluate pavement material layers.

      Similarly, for bridge deck analysis, techniques such as migration imaging (for concrete cover depth

      measurement applications among others) and Fourier analysis of GPR waveforms (for qualitative bridge deck

      moisture analysis) were used in addition to emerging techniques such as Short Time Fourier Transform

      analysis (for anticipated quantitative moisture analysis) for improving GPR data interpretation. Migration and

      Fourier techniques were illustrated corresponding to GPR data collected using a GPR array on selected bridge

      decks in the Salisbury, MD area. When applied appropriately, such techniques can provide more reliable

      analysis of bridge deck inspection than conventional means. In terms of precast concrete, this study has shown

      how GPR can be used to address several of the inspections needed in precast concrete production, including

      an evaluation of concrete cover depth, reinforcement location, and section thicknesses. The testing and

      demonstration showed significant potential for quality control using GPR.

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