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永吉高速边坡自动化监测预警及变形分析

Automatic Monitoring and Early Warning and Deformation Analysis of Yongji Expressway Side Slope

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【作者】 闻爱祥朱自强鲁光银王李昌

【Author】 WEN Aixiang;ZHU Ziqiang;LU Guangyin;WANG Lichang;Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring(Central South University),Ministry of Education;Hunan Key Laboratory of Non-ferrous Resources and Geological Hazard Detection;School of Geosciences and Info-physics,Central South University;Zhejiang Jining Expressway Co.,Ltd.;

【机构】 有色金属成矿预测与地质环境监测教育部重点实验室(中南大学)有色资源与地质灾害探查湖南省重点实验室中南大学地球科学与信息物理学院浙江吉宁高速公路有限公司

【摘要】 以永吉高速DK0+585~DK0+780段右侧滑坡为研究案例,设计了传感器布设方案,采用自动化的监测预警系统对其进行全天候、自动化的监测和预警,系统可及时准确地识别边坡每一次变形加速过程,起到了预警作用。通过对监测数据的分析,总结其变形特征,并结合现场巡查情况、工程地质情况进行综合的安全评价。结果表明,该滑坡目前仍处于不稳定状态,且主要诱发因素为降雨,采用自动化监测预警能够准确把握滑坡的变形加速过程,有效保障高速公路的运营安全。

【Abstract】 Taking the landslide on the right side of DK0+585~DK0+780 section of Yongji Expressway as a case study, the sensor layout scheme is designed, and the automatic monitoring and early warning system is used to monitor and warn the slope all day and automatically.The system timely and accurately identifies every deformation acceleration process of the slope and plays a warning role.Through the analysis of the monitoring data, the deformation characteristics are summarized, and combined with the site inspection and engineering geology, the comprehensive safety evaluation is carried out.The results show that the landslide is still in an unstable state, and the main inducing factor is rainfall.Automatic monitoring and early warning can accurately grasp the deformation and acceleration process of landslide, and effectively guarantee the operation safety of expressway.

【基金】 国家自然科学基金(41974148);湖南省重点研发计划(2020SK2135);湖南省高新技术产业科技创新引领计划项目(2020GK2067);湖南省自然资源科研项目(2021-15);浙江省交通运输厅科技项目(2020041);湖南省交通运输厅科技项目(202012)
  • 【文献出处】 黑龙江交通科技 ,Communications Science and Technology Heilongjiang , 编辑部邮箱 ,2024年02期
  • 【分类号】U418.55
  • 【下载频次】38
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