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高速公路路面厚度探地雷达检测
引用本文:冯德山,戴前伟. 高速公路路面厚度探地雷达检测[J]. 地球物理学进展, 2008, 23(1): 289-294
作者姓名:冯德山  戴前伟
作者单位:1. 中南大学信息物理工程学院,长沙,410083
2. 有色资源与地质灾害探查湖南省重点实验室,湖南,长沙,410083
基金项目:国家自然科学基金 , 湖南省科技计划
摘    要:探讨了探地雷达检测高速公路路面厚度的物理前提,并根据我国公路工程建设的实际情况,建立了高等级公路路面结构地球物理模型.系统地介绍了雷达检测路面厚度的方法原理,并对检测中技术参数的选择,如:采样频率、时窗、检测速度进行了详细的说明.介绍了自制的高速公路路面厚度雷达探测解释系统各个模块,如:数据预处理中的时、空域滤波,偏移等方法,并总结面层与基层的反射波三个重要特征,为辅助计算机自动识别反射波打下基础.应用SIR-3000型探地雷达于益常高速公路路面厚度交工验收检测中,通过55个钻孔抽样对比表明,雷达检测能很好地达到了评价路面厚度的目的,为工程质量评价提供了可靠的科学依据.

关 键 词:探地雷达  路面厚度  参数设置  检测
文章编号:1004-2903(2008)02-0289-06
收稿时间:2007-09-10
修稿时间:2007-09-10

Application of ground penetrating radar in the survey of the pavement thickness in highway
FENG De-shan,DAI Qian-wei. Application of ground penetrating radar in the survey of the pavement thickness in highway[J]. Progress in Geophysics, 2008, 23(1): 289-294
Authors:FENG De-shan  DAI Qian-wei
Abstract:Discussion the physics premise of GPR detecting pavement thickness of highway,and builting up Geophysics model of highway pavement structure according to the practical situation of our country highway engineering construct.The method and the principle of radar detecting highway pavement thickness was introduced systematically.Illuminating the choice of the technique parameter in detection detailed,such as,sampling frequency,window length,the speed of detection.Then,each module of radar detection interpretation system using in detecting highway pavement thickness was been introduced.Such as the method,space-time domain filtering,migration in data preprocessing,and laying the foundation for assistant computer automatic identification reflection wave by summing up three important characteristics of reflection wave surface layer and base layer.At last,apply the SIR-3000 radar system to completing and acceptance of Yi-Chang highway pavement thickness,and by contrasting the 55 drill sample,it indicates that the radar detection could evaluate pavement thickness and provide dependable science for the engineering quantity nicely.
Keywords:ground penetrating radar  subsurface layer thickness  parameter offered  detection
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