Journal
NDT & E INTERNATIONAL
Volume 73, Issue -, Pages 1-7Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ndteint.2015.03.001
Keywords
Non-destructive testing; Ground penetration radar; Asphalt pavement; Thin layer problem; Regularized deconvolution
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In this paper, regularized deconvolution is utilized to analyze GPR signal collected from thin asphalt pavement overlays of various mixtures and thicknesses on a test site. By applying regularized deconvolution and the L-curve method, the overlapped interface was identified in the signal. The thickness of the thin layer was predicted with maximum error of 4.2%, which is less than 1.5 mm, a value well below the layer tolerance during construction. The study shows that the algorithm based on regularized deconvolution is a simple and effective approach for processing GPR data collected from thin pavement layers to predict their thickness. (C) 2015 Elsevier Ltd. All rights reserved.
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