摘要
为全面整合和分析无损检测采集的病害信息并构建病害数字孪生模型对病害进行可视化表达,基于BIM+GIS技术,运用探地雷达检测手段,提出了路面全域病害整合与建模的新框架。在该框架中,首先面向不同路表病害类型分别开发基于深度图像表面拟合和基于二值图像轮廓拟合的病害建模方法,相较于传统二维贴图或三维固定参数的建模方式,该方法实现了对病害区域信息的准确拟合建模;该框架另一部分提出了路面结构内部隐蔽病害的三维可视化建模方法,相较于传统分析建模进一步实现了探地雷达数据的病害模型转化与BIM数字化道路高效整合,降低了探地雷达数据实际应用性的门槛。该方法基于2种不同雷达图像的病害特征,识别并提取病害区域,实现全路段隐蔽病害疑似区域和局部重点区域三维重构;最后自动化构建包含全域病害的数字孪生模型,将无损检测数据高效整合,完成病害实体在虚拟空间中的映射转化。同时借助地理信息系统绘制道路病害分布热力图,反馈病害分布以及发展情况,指导养护管理工作。试验结果表明:该框架高效完成全域病害的三维数字转化;路表裂缝和坑槽建模精度分别达到80.13%和98.17%,路面内部病害的模型结合现场钻孔取芯验证在判断病害发生位置及病害类型等方面具有较高的准确度。针对路表病害,表面拟合建模方式适用于病害空间分布呈现要求较高的场景,对形态复杂的网裂、松散等病害建模效果好;轮廓拟合建模的方式适用于要求简单且高效的场景,对延伸性发展病害,如横缝、纵缝、坑槽等,由于病害轮廓信息易获取,建模效果更优。针对路面内部病害,基于C-scan图像病害建模效率较高,但无法区分具体病害类型,适用于道路总体结构质量分析;基于B-scan图像病害建模可以细分病害类别,但受限于建模效率,更适用于局部重点�
To integrate and analyze pavement distress information inspected by non-destructive testing(NDT)and build a distress digital twin model,this study proposed a new building information modeling and geographic information system(BIM+GIS)framework for pavement distress integration and modeling.In this framework,surface and contour fitting methods were developed for modeling different types of surface diseases.Compared with traditional 2D picture patching or 3D fixed parameter modeling methods,the proposed method achieves the 3D modeling of distress.Another part of the framework proposes a 3D modeling method for concealed diseases in the pavement structure.Compared with traditional analysis and modeling methods,the proposed method transforms ground penetrating radar(GPR)data into distress models,efficiently integrates the model with the BIM platform,and lowers the threshold for the practical application of GPR data for road pavements.Based on the disease characteristics of two GPR images,the 3D reconstruction of suspected and local key areas of concealed diseases were identified and extracted.Finally,a digital twin model including global diseases was automatically constructed,which integrated the NDT data efficiently and transformed the disease in the virtual space.A heat map was drawn by GIS to feedback disease distribution and development and guide maintenance management.The experimental results show that the framework can complete the 3D digital transformation of full-field diseases.The modeling accuracies of the crack and pothole models were 80.13%and 98.17%,respectively.The model of road internal distress was compared with on-site coring to determine the position and type of disease accurately.For road surface diseases,the surface fitting model is suitable for scenes that require spatially distributed diseases.The model has network cracks and is loose,which makes it suitable for modelling diseases.The contour fitting model is suitable for scenarios that require simplicity and high efficiency.Its modeling effect i
作者
杨旭
李毅
刘文博
赵宗云
管进超
刘鹏飞
丁玲
YANG Xu;LI Yi;LIU Wen-bo;ZHAO Zong-yun;GUAN Jin-chao;LIU Peng-fei;DING Ling(School of Highway,Chang'an University,Xi'an 710064,Shaanxi,China;College of Future Transportation,Chang'an University,Xi'an 710064,Shaanxi,China;Zhongjiao Yuanzhou Transportation Technology Group Shandong Engineering Consulting Co.Ltd.,Qingdao 266000,Shandong,China;Institute of Highway Engineering,RWTH Aachen University,Aachen 52074,North Rhine-westphalia,Germany;College of Transportation Engineering,Chang'an University,Xi'an 710064,Shaanxi,China)
出处
《中国公路学报》
EI
CAS
CSCD
北大核心
2023年第3期120-135,共16页
China Journal of Highway and Transport
基金
国家重点研发计划项目(2021YFB2601000)
国家自然科学基金项目(52078049)
陕西省自然科学基金项目(2022JM-193)。
