EVALUATION OF LOCAL DETERIORATION OF PAVEMENT SURFACE BY SPATIAL FREQUENCY ANALYSIS BASED ON SHORT-TIME FOURIER TRANSFORM

In this study, the authors aimed to detect and evaluate the local deterioration noticeable in drainage pavement by conducting Short-Time Fourier Transform of pavement surface displacement data in three-dimensional point cloud data. Based on the verification on the actual road, it is possible to exhaustively detect the local deterioration using the maximum value of the amplitude spectrum obtained by calculating Short-Time Fourier Transform of whole pavement data. The authors also pointed out that the mean value of the amplitude spectrum is linearly correlated with IRI, and showed that it is possible to diagnose the degree of deterioration of the pavement before local deteriorations become obvious. They also conducted parametric studies in calculating these indices. The results of this research showed that the authors could automate the detection of the local deterioration of pavement. This technology can be also applied to degradation patterns with other scales and to other object surfaces.

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  • English
  • Japanese

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  • Accession Number: 01698960
  • Record Type: Publication
  • Source Agency: Japan Science and Technology Agency (JST)
  • Files: TRIS, JSTAGE
  • Created Date: Jan 25 2019 3:31PM