Recent progress towards the development of a contactless sensing approach to inspect large areas of bridge deck structures is presented. The project was conceived to address industry's increasing needs for intelligent renewal, including rapid, cost effective data acquisition and complementary use of various established NDE methods through data fusion for more effective evaluation. Initial stages in the project, presented herein, include independent evaluation and optimization of 3 different techniques using real data collected with non-traditional acoustic sensors from full-scale pavements at the University of Illinois at Urbana-Champaign. A single dataset of vibration measurements is analyzed using Impact Echo, digitized acoustic sounding and surface wave dispersion methods (e.g. MASW); data fusion options are explored.
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