Quantitative Signal Analysis of Concrete Pavements Using Ultrasonic Linear Array Technology

The aging American infrastructure and focus on rehabilitation and preservation planning in recent history highlights the need for enhanced damage detection techniques, ideally nondestructive in nature. With respect to concrete pavements, the depth and extent of damage is critical information for both economically and structurally efficient repair decisions. This paper investigates the effectiveness of shear waves in determining the presence and intensity of freeze-thaw damage in concrete pavements. The analysis of individual time-history data allows for additional transducer-specific information. Preliminary visual inspection of these signals showed qualitative differences in signal shapes and trends based upon damage levels. The culmination of this analysis is the development of a quantitative numerical indicator of the presence of damage in concrete based upon an extensive slab data inventory. The results show promise for the ability to classify concrete pavement conditions in a nondestructive, quantitative, and objective manner.

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