Study on the Health Monitoring System of Pavement

路面健康监测系统研究

基本信息

批准号：
10650517
负责人：
KAWAMURA Akira
金额：
$ 2.18万
依托单位：
Kitami Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1998
资助国家：
日本
起止时间：
1998 至 2000
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-10650517/
关键词：
Pavement Management System Health Monitoring Road Surface Evaluation Road Profile Wavelet Analysis Multiresolution Analysis

项目摘要

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

从这项研究中获得的新发现和结果如下：1998年的研究：使用PIARC甚至数据进行数据处理和分析。已经发现，空间频率和多分辨率分析可以有效地从道路剖面的原始数据中删除噪声，并检测轮廓的遇险数据。此外，IRI的值通过消除噪声而降低了40-50％。1999年的研究：根据去年的结果，对剖面对道路指数的影响进行的研究进行了研究。关于PSD和小波变换的评估方法，结果表明，使用两种方法共同掌握了道路遇险数据对道路表面波动的影响。 ISO标准对局部缺陷对道路均匀度的影响进行了定量掌握。此外，我们可以确定道路表面的二维缺陷，例如二维小波分析的裂纹。2000年研究：从前者的结果中，提出了监视道路均匀度的完整性的协议。监视的一个过程是：1）收集纵向道路概况的数据收集2）空间频率分析和检查数据的均匀性3）从数据中删除噪声并检测到遇险数据的影响。