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越江盾构隧道结构形变分析与预测 被引量:3

Analysis and prediction on the structure deformation of cross river shield tunnel
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摘要 首先通过分析三维激光扫描技术逐环获取的某越江盾构隧道汛期多期水平直径收敛变形与沉降数据,研究越江盾构隧道结构形变与水位相关性关系。然后讨论不同水位情况下盾构隧道收敛变形和道床沉降的趋势,通过汛期监测数据对比分析,得出水位升高状态下导致隧道水平直径收敛变形和沉降增大,水位下降后,水平直径收敛变形呈现回归趋势,并针对盾构隧道水平直径收敛与沉降提出加固措施。最后为预测隧道水平直径收敛变化情况,搜集往期隧道管片水平直径数据,通过Python运行灰色算法程序预测未来隧道管片水平直径,实现了盾构隧道水平直径收敛精度为1 mm时的精准预测。 In this paper,the correlation between structural deformation and water level of a shield tunnel is studied by analyzing the converging deformation and settlement data of multi-phase horizontal diameter of a shield tunnel in flood season obtained by 3D laser scanning technology.Discuss convergence deformation of shield tunnel under different water conditions and the trend of roadbed settlement,through the comparison analysis of monitoring data of flood season it is concluded that higher water conditions will cause tunnel horizontal diameter increase convergence deformation and subsidence,water level declines,horizontal diameter convergence deformation showed a trend of regression,and horizontal diameter convergence and sedimentation of shield tunnel reinforcement measures are put forward.Finally,in order to predict the convergence changes of tunnel horizontal diameter,the data of tunnel segment horizontal diameter in the past period were collected,and the gray algorithm program is run by python to predict the horizontal diameter of tunnel segment in the future,realizing the accurate prediction when the convergence accuracy of shield tunnel horizontal diameter is 1 mm.
作者 李强强 姜伟玲 唐超 徐浩 LI Qiangqiang;JIANG Weiling;TANG Chao;XU Hao(College of Mining,Liaoning Technical University,Fuxin 123000,China;Beijing Urban Construction Group Co.,Ltd.,Beijing 100088,China;Beijing Urban Construction Exploration&Surveying Design Research Institute Co.,Ltd.,Beijing 100101,China)
出处 《测绘通报》 CSCD 北大核心 2022年第9期34-38,共5页 Bulletin of Surveying and Mapping
关键词 越江盾构隧道 水平直径 高水位 结构安全 灰色预测算法 river-crossing shield tunnel horizontal diameter high water level structure safety grey prediction algorithm
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