摘要
准确掌握路面结构内部病害分布特征及维修决策是提升道路性能与延长道路使用寿命的关键。该文基于三维探地雷达(3D GPR)技术,针对湖北省某高速公路12 km的行车道和超车道进行病害检测,获取了高分辨率的路面内部病害图像并结合模块化决策模型优化铣刨养护决策。通过高效、无损的技术手段,深入分析道路内部病害的分布特征,识别潜在的病害类型,为养护决策提供科学依据。通过数据分析,揭示了不同层间裂缝率、损伤率及病害分布特征,并量化了损伤严重程度。基于病害分布特征,提出了模块化分层养护决策方法,并依据裂缝率和损伤率制定针对性铣刨处治方案。研究表明:三维探地雷达能高效、无损识别和评估道路内部病害,为养护决策和资源优化提供精准数据支撑,显著提升养护效率与经济效益。
The distribution characteristics of internal distress in pavement structures and the corresponding maintenance decisions are crucial for improving road performance and extending service life.Based on three-dimensional ground-penetrating radar(3D GPR)technology,this study investigated the internal distress of a 12-kilometer section of both driving and overtaking lanes of an expressway in Hubei Province.High-resolution images of internal pavement distress were obtained,and milling maintenance decisions were optimized by employing these images and a modular decision-making model.Through an efficient and non-destructive technique,the distribution characteristics of internal pavement distress were analyzed,and potential distress types were identified,providing a scientific basis for maintenance decision-making.Data analysis revealed the crack rates,damage rates,and distribution characteristics of distresses between different layers and quantified the severity of the damages.Based on the distribution characteristics of distresses,a modular and layered maintenance decision-making method was proposed,and milling treatment plans were developed in response to the crack and damage rates.The study demonstrates that 3D GPR can efficiently and non-destructively identify and assess internal pavement distress and provide accurate data for maintenance decision-making and resource optimization,thus significantly enhancing maintenance efficiency and economic benefits.
作者
李晓华
宋亮
叶伟
谢晓东
仰建岗
高杰
LI Xiaohua;SONG Liang;YE Wei;XIE Xiaodong;YANG Jiangang;GAO Jie(School of Traffic&Logistics Engineering,Xinjiang Agricultural University,Urumqi,Xinjiang 830091,China;Xinjiang Transportation Investment and Construction Management Co.,Ltd.,Urumqi,Xinjiang 830063,China;School of Traffic and Transportation Engineering,Xinjiang University,Urumqi,Xinjiang 830017,China;Xinjiang Academy of Transportation Sciences Co.,Ltd.,Urumqi,Xinjiang 830000,China;School of Civil Engineering and Architecture,East China Jiaotong University,Nanchang,Jiangxi 330013,China)
出处
《中外公路》
2025年第3期221-231,共11页
Journal of China & Foreign Highway
基金
国家自然科学基金资助项目(编号:52268068,52368064)
江西省自然科学基金资助项目(编号:20232BAB204085)
天山英才科技创新领军人才项目(编号:2022TSYCLJ0045)。
关键词
三维探地雷达
路面内部病害
层间损伤率
模块化决策
道路养护
three-dimensional ground-penetrating radar
internal pavement distress
interlayer damage rate
modular decision-making
road maintenance
