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空耦雷达技术在检测沥青路面厚度的探讨
引用本文:张华为,朱自强.空耦雷达技术在检测沥青路面厚度的探讨[J].中南公路工程,2012(4):24-25,30.
作者姓名:张华为  朱自强
作者单位:中南大学地球科学与信息物理学院,湖南长沙410083
基金项目:国家自然科学基金项目资助(41174061);中南大学自由探索计划资助(20liQNZTOll)
摘    要:本文介绍了神经网络的基本理论,提出了一种采用BP神经网络模型对空耦雷达道路检测路面厚度进行测算的新方法。并对BP神经网络模型在沥青混凝土路面厚度检测的应用进行了分析、比较,为GPR技术在道路工程检测实践中提供一种辅助判断手段。

关 键 词:探地雷达  人工神经网络模型  路面厚度

The Investigating on the Thickness of the Asphalt Pavement Detecting with the Technology of the Air-coupled radar
ZHANG Huawei,ZHU Ziqiang.The Investigating on the Thickness of the Asphalt Pavement Detecting with the Technology of the Air-coupled radar[J].Central South Highway Engineering,2012(4):24-25,30.
Authors:ZHANG Huawei  ZHU Ziqiang
Institution:(School of Geosciences and info-Physics, Central South University, Changsha, Hunan 410083, China)
Abstract:This paper described the basic theory of neural networks and proposed a new method of calculating the pavement thickness with the model of BP neural network using the air-coupled radar. With the analysis and comparison of the BP neural network model applicated on the asphalt concrete pavement thickness detection, it provided a supplementary judgment method for the road engineering detection using GPR technology.
Keywords:Ground penetrating radar Artificial neural network model Pavement thickness
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