三维探地雷达道路隐性病害检测分析与数字化技术综述  

Road Structural Defects Detection and Digitalization Based on 3D Ground Penetrating Radar Technology:A State-of-the-art Review

作　　者：王大为 吕浩天 汤伏蛟 叶呈森 张锋[1] 王飔奇 倪耀威 冷真[3] 陆国阳 刘鹏飞 WANG Da-wei;LYU Hao-tian;TANG Fu-jiao;YE Cheng-sen;ZHANG Feng;WANG Si-qi;NI Yao-wei;LENG Zhen;LU Guo-yang;LIU Peng-fei(School of Transportation Science and Engineering,Harbin Institute of Technology,Harbin 150090,Heilongjiang,China;School of Transportation,Southeast University,Nanjing 211189,Jiangsu,China;Department of Civil and Environmental Engineering,Hong Kong Polytechnic University,Hong Kong 999077,China;Department of Architecture and Civil Engineering,City University of Hong Kong,Hong Kong 999077,China;Institute of Highway Engineering,RWTH Aachen University,Aachen 52074,North Rhine-Westphalia,Germany)

机构地区：[1]哈尔滨工业大学交通科学与工程学院,黑龙江哈尔滨150090 [2]东南大学交通学院,江苏南京211189 [3]香港理工大学建筑与环境学院,中国香港999077 [4]香港城市大学土木及建筑工程学院,中国香港999077 [5]德国亚琛大学道路工程研究所,北莱茵-威斯特法伦亚琛52074

出　　处：《中国公路学报》2023年第3期1-19,共19页China Journal of Highway and Transport

基　　金：科技部政府间国际合作重点项目(2019YFE0116300);黑龙江省自然科学基金重点项目(JJ2020ZD0015)。

摘　　要：道路服役数据信息是交通基础设施数字化建设与养护的关键,先进探测设备是获取道路服役数据信息的途径。近年来,三维探地雷达(3D Ground Penetrating Radar,3D GPR)因其高效、无损等检测优势得到广泛应用,可为道路隐性病害数据获取提供重要支撑。基于此,对道路典型隐性病害类型与检测手段进行总结归纳。梳理了三维探地雷达技术原理、数据采集方法、数据处理及在道路工程检测中的应用;根据三维探地雷达图谱隐性病害特征与识别手段,重点分析人工智能技术在探地雷达图谱识别技术中的应用与发展。针对交通基础设施发展进程,展望基于探地雷达数据的数字孪生技术,主要介绍基于三维探地雷达数据的建模与模型仿真方法。该综述可为三维探地雷达道路隐性病害检测提供基础理论知识与实践方法借鉴,同时为基于三维探地雷达数据的数字化交通基础设施建设与道路养护决策提供参考。Road information is the key to the decision-making of digital traffic infrastructure and maintenance behavior.The application of advanced detection equipment is the way to obtain road information.The high-efficiency,and non-destructive detection characteristics of 3D Ground Penetrating Radar(3D GPR)can support the acquisition of road structural defects data.This paper reviews the typical types of road structural defects,detection methods,etc.The major principles of 3D GPR technology,and its application on road engineering are introduced afterwards.Subsequently,this paper concludes the application and development of artificial intelligence technology in GPR image recognition technology according to the structural defect characteristics and recognition methods.According to the development of traffic infrastructure,this paper looks forward to the digital twin technology based on 3D GPR data,mainly introduces the modeling and model simulation methods.The review can provide basic theoretical knowledge and practical methods for 3D GPR road structural defections detection and provide guidance for digital transport infrastructure construction and road maintenance based on 3D GPR data.

关 键 词：道路工程 交通基础设施数字化 综述 三维探地雷达 道路病害 深度学习 三维重建 

分 类 号：U414.1[交通运输工程—道路与铁道工程]