Thein-situevaluation of surface-breaking cracks in asphalt using a wave decomposition method

Abstract

Assessment of the location and extension of cracking in road surfaces is important for determining the potential level of deterioration in the road and in the infrastructure buried beneath it. Damage in a pavement structure is usually initiated in the asphalt layers, making the Rayleigh wave ideally suited to the detection of shallow surface defects. However, the practical application of crack detection methods in asphalt is hampered by the dispersive behaviour of the road pavement. In fact, assessment of crack in road is usually performed assuming constant phase velocity, and its dispersive behaviour is neglected. Moreover, current methodologies for crack evaluation in asphalt do not support in-situ applications. A new digital signal processing technique for the measurement of the amplitude and phase of the direct and reflected Rayleigh waves, scattered from the boundaries of a vertical crack in asphalt, is presented in this paper for the first time. It decomposes the signal into its in-situ crack evaluation of roads, for which the road is holistically treated as a dispersive medium.

Pavement Sensing Systems : Literature Review

“…Iodice et al [63] introduced a novel crack detection approach in asphalt pavements using the propagation of Rayleigh wave components in a wave decomposition method. In the wave decomposition method, the frequency-wavenumber (f -k) was used.…”

“…10) Inaccuracy in obtained data and fluctuations in measured coefficients can be reduced by calculating an optimum distance between the mechanical vibration source and a geophone receiver [63].…”

Sensor-based pavement diagnostic using acoustic signature for moduli estimation

“…1. embedded [5][6][7] and non-embedded sensor-based systems [8,9]; 2. mobile [10][11][12] and stationary systems [13][14]; 3. wireless [15,16], wired [17,18] and self-powered systems [19,20]; 4. traditional [21,22] and smart data management [23][24][25]; Despite the promising advantages of the sensor-based solutions, and the growing need of infrastructures in the Internet of Things (IoT) world, it must be underlined that these solutions are sometimes in an early stage of investigation, and that there is a lack of applications in real contexts. Based on the above, the main objective of the presented study is to validate the results of an innovative road pavement monitoring solution with data derived using traditional methods (i.e., GPR, FWD).…”