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Determination of concrete rebars characteristics by enhanced post-processing of GPR scan raw data
Affiliation:1. State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology (Beijing), Beijing 100083, China;2. Beijing Key Laboratory for Precise Mining of Inter-Grown Energy and Resources, Beijing 100083, China;3. College of Geoscience and Surveying Engineering, China University of Mining Technology (Beijing), Beijing 100083, China;4. College of Earth Sciences, University of Chinese Academy of Sciences, Beijing 101407,China;1. Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, United States;2. China Merchants Chongqing Communications Technology Research and Design Institute Co., Ltd., Chongqing, China;3. Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, United States;4. StreetScan Inc., Burlington, MA 01803, United States;1. CONSEN Inc., Montréal, Canada;2. Department of Civil & Environmental Engineering, Rutgers University, USA;3. Department of Engineering, Colorado State University-Pueblo, Pueblo, CO, USA
Abstract:A method for the estimation of rebar radius by post-processing the raw data acquired by the ground penetrating radar as a B-scan radargram is proposed. Considering the hyperbola trace and the diffracted amplitudes an inverse problem consisting of two steps was stated. Using at first hyperbola fitting, the wave velocity and the coordinates of the hyperbola apex are identified. Then the rebar radius is retrieved as solution of a further optimization problem for which the cost function measures the misfit between the actual value of the maximum diffracted amplitudes and their theoretical predictions. The procedure was implemented in Matlab and tested in realistic situations. The obtained results showed improved accuracy.
Keywords:Ground penetrating radar  Buried rebar  Radius estimation  Localization  Noise  B-scan  Inverse problem  Optimization
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