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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

本研究的新发现和结果如下：1998年的研究：数据处理和分析使用了PIARC EVEN数据。研究发现，空频分析和多分辨率分析能够有效地去除道路轮廓原始数据中的噪声，检测出道路轮廓的遇险数据。此外，通过去除噪声，IRI值降低了40-50%。1999年研究：在上年研究成果的基础上，开展了路面轮廓对路面平整度指标影响的研究。采用PSD和小波变换评价方法，结果表明，两种方法联合使用能很好地把握路面遇险数据对路面波浪度的影响。采用ISO标准定量地把握了局部缺陷对路面均匀度的影响。在此基础上，利用二维小波分析方法对路面裂纹等二维缺陷进行识别。2000年的研究：在前人研究成果的基础上，提出了一种道路均匀度完整性监测方案。监测过程为：1)纵向道路剖面数据采集2)空频分析及数据同质性检验3)数据噪声去除及病害数据检测4)利用多分辨率分析检测病害数据对路面平整度的影响5)通过前后分析对路面养护和维修进行决策