| Abstract: | Time series obtained from the waveform profiles of the ground penetrating radar (GPR) thickness of the asphaltic concrete layers of in–service pavement holds a key to the understanding of thickness variation and the presence of cavities within and below the pavement surface. In this paper, the fundamental techniques of time series modelling—(i) identification, (ii) estimation and (iii) diagnostics—are applied to the GPR thickness profile of three types of pavement—(a) fully–designed (b) partially–designed and (c) compositely designed pavement. Actual applications are made using data from in–service pavement in the state of Kansas. The main purpose of this study is to investigate the mechanism that drives the data and to compare the model errors and statistics of the thickness profiles of different types of flexible pavement. In the present study, the time series is replaced by a distance scale, but the name time series is retained. |
