摘要
以长春地铁5号线蔚山路西站至硅谷广场站区间为工程背景,针对现有盾构施工风险评估中忽视地层条件与地表建筑密度的问题,提出了一种融合无人机遥感影像与GIS技术的沉降风险分级方法。通过构建200 m×150 m试验样方,利用皮尔逊相关系数与斯皮尔曼相关系数验证房屋建筑密度与地表沉降的关联性(相关系数分别为0.32和0.41),证实建筑密度与沉降值存在显著正相关。采用权重分级法与层次分析法(AHP)综合分析沉降与建筑密度数据,将施工区域划分为高、中、低风险等级,两种分级结果一致性达90%以上。研究结论表明,建筑密度可作为盾构施工沉降风险评估的关键量化指标。
Taking the section from Weishan Road West Station to Silicon Valley Square Station on Changchun Metro Line 5 as the engineering background,a settlement risk grading method that integrates unmanned aerial vehicle remote sensing images and GIS technology is proposed to address the problem of neglecting geological conditions and surface building density in existing shield tunneling construction risk assessments.By constructing a 200 m×150 m test plot,the Pearson correlation coefficient and Spearman correlation coefficient were used to verify the correlation between building density and surface settlement(correlation coefficients of 0.32 and 0.41,respectively),confirming a significant positive correlation between building density and settlement values.Using the weight grading method and Analytic Hierarchy Process(AHP)to comprehensively analyze settlement and building density data,the construction area was divided into high,medium,and low risk levels,and the consistency of the two grading results was over 90%.The research conclusion indicates that building density can serve as a key quantitative indicator for assessing settlement risk in shield tunneling construction.
作者
李岳洋
易帅
李浩然
何子琦
高成梁
王兴
韩超
LI Yueyang;YI Shuai;LI Haoran;HE Ziqi;GAO Chengliang;WANG Xing;HAN Chao(School of Civil Engineering,Changchun Institute of Technology,Changchun Jilin 130012,China;School of Civil Engineering and Transportation,Northeast Forestry University,Harbin Heilongjiang 150040,China;Dongmei Jilin Construction Foudation Engineering Co.,Ltd.,Changchun Jilin 130061,China)
出处
《长春工程学院学报(自然科学版)》
2025年第4期28-33,共6页
Journal of Changchun Institute of Technology:Natural Science Edition
基金
吉林省科技发展计划项目(20220203058SF)
长春工程学院大学生创新创业项目(202211437044)。
关键词
无人机遥感
GIS技术
盾构施工
沉降风险分级
建筑密度
UAV remote sensing
GIS technology
shield construction
settlement risk grading
building density
