Study on the Health Monitoring System of Pavement

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New findings and results obtained from this study are described as follows :Study of 1998 :Data processing and analysis are carried out using PIARC EVEN data. It is found that the space-frequency and multiresolution analyses enable to remove the noise from raw data of the road profile effectively and to detect the distress data of the profile. Furthermore, values of IRI decreased 40-50% by removing the noise.Study of 1999 :On the basis of results for the last year, the study on an influence of the profile on indices of the road evenness is carried out. As regards the evaluation method by the PSD and the wavelet transform, results show that the influence of the road distress data on waviness of the road surface is grasped well using both methods jointly. The effects of localized defects on the road evenness are grasped quantitatively by the ISO standard. Furthermore, we can identify the two-dimensional defects of the road surface such as cracks by the two-dimensional wavelet analysis.Study of 2000 :From the former results, a protocol for the monitoring the integrity of the road evenness is proposed. A process for the monitoring is :1) Collection of the data for longitudinal road profile2) Space-frequency analysis and examination of the homogeneity of the data3) Removal of the noise from the data and detecting the distress data4) Inspection of the influence of the distress data on road evenness using the multiresolution analysis5) Decision-making for the maintenance and repair of the surface by before and aft analysis