摘要
软土地区修建的公路易发生沉降,塑性蠕变特性是重要影响因素。针对已有InSAR公路形变模型很少顾及塑性蠕变特征这一缺陷,提出一种改进的InSAR公路形变估计方法,对公路网中路基和桥梁分区开展InSAR建模和形变估计。在软土路基区域,充分顾及塑性蠕变特性,构建非线性粘塑性体周期降水模型(NVPBPP);在桥梁区域,构建热膨胀线性模型,以表征桥梁材料的热膨胀变形特征。实验选取岳阳洞庭湖东侧一软土区域,获取了其1 a的时序沉降结果。结果表明,研究区域形变以塑性蠕变为主,累积最大沉降量为28 mm;NVPBPP建模精度为3.1 mm,较传统InSAR线性模型提升45.1%,形变估计中误差为±2.5 mm。研究成果可为软土区域交通基础设施安全运营和稳定性监测提供参考。
The highway built in soft soil area is easy to settle,and the plastic creep characteristic is an important influence factor.In view of the defect that plastic creep characteristics are rarely taken into account in existing InSAR highway deformation models,we proposed an improved InSAR highway deformation estimation method to carry out InSAR modeling and deformation estimation for the middle road foundation and bridge subregions of highway network.In the soft soil subgrade area,we constructed a nonlinear viscoplastic periodic precipitation model(NVPBPP)with full consideration of plastic creep characteristics.In the bridge area,we constructed a linear thermal expansion model to characterize the thermal expansion deformation characteristics of bridge materials.Taking a soft soil area on the east side of Dongting Lake in Yueyang for example,we obtained its one-year sequential settlement results.The results show that the deformation in the study area is mainly plastic creep,and the maximum accumulated settlement is 28 mm.The modeling accuracy of NVPBPP is 3.1 mm,which is 45.1%higher than that of traditional InSAR linear model,and the median error of deformation estimation is±2.5 mm.The research results can provide reference for the safe operation and stability monitoring of traffic infrastructure in soft soil area.
作者
邢学敏
王亮
龙京建
XING Xuemin;WANG Liang;LONG Jingjian(Institute of Radar Remote Sensing Applications for Traffic Surveying and Mapping,Changsha 410114,China;College of Transportation Engineering,Changsha University of Science&Technology,Changsha 410114,China)
出处
《地理空间信息》
2025年第6期1-7,共7页
Geospatial Information
基金
国家自然科学基金资助项目(42074033)
中国水利水电第八工程局有限公司科研项目(2023060)
湖南省交通运输厅科技进步与创新计划资助项目(202211)
长沙市杰出创新青年培养计划资助项目(kq2209011)。
关键词
INSAR
公路
软土
形变
监测
InSAR
highway
soft soil
deformation
monitoring
