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阿海水电站进场公路K62滑坡动态变形监测及三维数值分析

王忠福,刘汉东,何思明

王忠福,刘汉东,何思明. 阿海水电站进场公路K62滑坡动态变形监测及三维数值分析[J]. 岩土工程学报, 2013, 35(zk2): 94-100.
引用本文: 王忠福,刘汉东,何思明. 阿海水电站进场公路K62滑坡动态变形监测及三维数值分析[J]. 岩土工程学报, 2013, 35(zk2): 94-100.
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WANG Zhong-fu1, 2, LIU Han-dong1, HE Si-ming2. Dynamic deformation monitoring and three-dimensional numerical analysis of K62 landslide of approach road of A’hai Hydropower Station[J]. Chinese Journal of Geotechnical Engineering, 2013, 35(zk2): 94-100.
Citation: WANG Zhong-fu1, 2, LIU Han-dong1, HE Si-ming2. Dynamic deformation monitoring and three-dimensional numerical analysis of K62 landslide of approach road of A’hai Hydropower Station[J]. Chinese Journal of Geotechnical Engineering, 2013, 35(zk2): 94-100.
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阿海水电站进场公路K62滑坡动态变形监测及三维数值分析  English Version

  • 王忠福,刘汉东; ,何思明;

基金项目: 水利部公益性行业科研专项经费项目（201301034）
详细信息
    作者简介:

    王忠福,刘汉东,何思明: 王忠福(1976- )，男，博士研究生，讲师，主要从事边坡稳定性分析及地基处理方面的教学及科研工作。E-mail:xfjtwzf@163.com。

  • 中图分类号: TU47

Dynamic deformation monitoring and three-dimensional numerical analysis of K62 landslide of approach road of A’hai Hydropower Station

  • 1.Institute of Geotechnical Engineering and Hydraulic Structure Engineering, North China University of Water Conservancy and Hydroelectric Power; Zhengzhou 450011, China; 2.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences & Ministry of Water Conservancy, Chengdu 610041, China

摘要

    摘要
  • 摘要: 滑坡的变形破坏是一个复杂的动态过程,通过对阿海水电站进场公路K62滑坡变形进行现场监测,获得了大量地表变形监测数据,研究了该滑坡的变形规律。研究结果表明：受地形、地貌及地质条件的影响,滑坡体变形速率非同步性。滑坡体变形规律表现出两头大中间小的特点,滑坡上部水平变形速率最大达到4.06 mm/d,中部变形0.18 mm/d,下部变形达到48.6 mm/d,变形破坏机制表现为前缘牵引后缘平推,滑坡中部起挡墙锁固的作用；基于实测变形,利用均匀设计方法与人工神经网络相结合,建立了滑坡体及滑带土参数反算的RBF神经网络模型,获得了滑坡体及滑带土的力学参数。并利用FLAC3D数值模拟了滑坡在变形过程中滑坡体内的位移场、塑性破坏区分布的规律。研究结果为滑坡工程治理设计提供参考。
    Abstract: The deformation and failure of landslides is a complex dynamic process. Through field deformation monitoring of K62 landslide of approach road of A’hai Hydropower Station, a large number of ground surface deformation data are collected, and the deformation laws of the landslide are analyzed. The results show that under the effects of topographical, geomorphological and geological conditions, the rate of surface deformation is asynchronous. The landslide deformation is larger in the upper and lower parts than that in the middle part, and the deformation rates of the landslide are up to 4.06, 0.18 and 48.6 mm/d in the upper, middle and lower parts, respectively. The deformation and failure mechanisms are as follows: drawing of the leading edge pushing of the trailing edge and retaining wall locking of the middle part of the landslide. By means of the uniform design method and artificial neural network based on the measured deformation, a RBF neural network model for Back analysis of the soil parameters of the landslide and slip zone is established. The mechanical parameters are obtained. The FLAC3D numerical simulation method is adopted to simulate the stress field, distribution of displacement and plastic zone of K62 landslide during dynamic deformation process. The simulated results are consistent with the monitoring ones and provide the design reference for the landslide.
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出版历程
  • 收稿日期:  2013-06-05
  • 发布日期:  2013-11-24

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