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基于Fredlund & Xing模型的渗流分析在川东红层梯田滑坡中的应用

廖勇 乐建 胡力 顾伟伟 徐今星

廖勇,乐建,胡力,等. 基于Fredlund & Xing模型的渗流分析在川东红层梯田滑坡中的应用[J]. 水文地质工程地质,2023,50(3): 104-114 doi:  10.16030/j.cnki.issn.1000-3665.202202049
引用本文: 廖勇,乐建,胡力,等. 基于Fredlund & Xing模型的渗流分析在川东红层梯田滑坡中的应用[J]. 水文地质工程地质,2023,50(3): 104-114 doi:  10.16030/j.cnki.issn.1000-3665.202202049
LIAO Yong, LE Jian, HU Li, et al. Application of seepage analyses based on Fredlund & Xing model in red beds terrace landslides in eastern Sichuan[J]. Hydrogeology & Engineering Geology, 2023, 50(3): 104-114 doi:  10.16030/j.cnki.issn.1000-3665.202202049
Citation: LIAO Yong, LE Jian, HU Li, et al. Application of seepage analyses based on Fredlund & Xing model in red beds terrace landslides in eastern Sichuan[J]. Hydrogeology & Engineering Geology, 2023, 50(3): 104-114 doi:  10.16030/j.cnki.issn.1000-3665.202202049

基于Fredlund & Xing模型的渗流分析在川东红层梯田滑坡中的应用

doi: 10.16030/j.cnki.issn.1000-3665.202202049
详细信息
    作者简介:

    廖勇(1980-),男,硕士,高级工程师,主要从事岩土工程勘察设计、地质灾害勘查设计等方面的研究工作。E-mail:38732464@qq.com

  • 中图分类号: P642.22

Application of seepage analyses based on Fredlund & Xing model in red beds terrace landslides in eastern Sichuan

  • 摘要: 四川省巴中市通江县新场镇七家沟村二社水头上滑坡为川东典型红层梯田滑坡,区内类似斜坡覆盖范围广泛,但针对该地区此类滑坡的渗流分析研究较少。在对滑坡区进行大量野外调查、勘查、资料收集的基础上,综合运用卫星遥感、无人机航拍、机载LiDAR、室内试验等技术手段,基于Fredlund & Xing土水特征曲线数学模型,采用Geo-Studio中SEEP/W模块进行渗流分析,将不同时间阶段分析结果与SLOPE/W模块耦合,继而得到稳定系数与降雨、时间之间的动态变化关系,揭示了滑坡的变形过程和形成机理。研究显示:(1)连续降雨促使坡体地下水位升高,稳定性降低,最终导致水头上滑坡整体失稳破坏;(2)滑坡变形过程、地下水出露特征与Geo-Studio计算结果基本吻合,说明基于Fredlund & Xing数值模拟在类似地区能提供较为准确的模拟结果;(3)开垦梯田(水田)会降低坡体稳定性。研究结果可为四川山区类似滑坡灾害进行隐患排查和主动防范提供理论支撑,为防灾减灾提供参考依据。
  • 图  1  通江县2021年9月日降雨量分布图

    Figure  1.  Distribution of daily rainfall in Tongjiang County in September, 2021

    图  2  研究区地质图

    Figure  2.  Geological map of the study area

    图  3  滑坡区影像

    Figure  3.  Image of the landslide area

    图  4  滑坡区工程地质剖面图(6-6’剖面)

    Figure  4.  Engineering geological profile of the landslide area (6-6’ section)

    图  5  启动区滑坡壁与地下水特征

    Figure  5.  Characteristics of the landslide wall and groundwater in the start-up area

    图  6  滑坡区内梯田(Google卫星影像图,2016年4月16日)

    Figure  6.  Terraced fields in the landslide area (Google satellite image, April 16, 2016)

    图  7  受损的房屋道路

    Figure  7.  Damaged houses and road

    图  8  滑移区次级滑坡壁

    Figure  8.  Secondary scarp of the landslide

    图  9  模拟数值模型与有限元网格划分

    Figure  9.  Simulation numerical model and finite element meshing

    图  10  滑坡前后地下水渗流分析对比

    Figure  10.  Analysis and comparison of groundwater seepage before and after landslide

    图  11  滑坡土体水文监测结果(监测点A2)

    Figure  11.  Hydrological monitoring results in the landslide soil (monitor point A2)

    图  12  稳定性系数变化

    Figure  12.  Variation of stability coefficient with time

    表  1  计算模型中岩土材料物理力学参数取值

    Table  1.   Values of physical and mechanical parameters of geotechnical materials in the calculation model

    岩土材料重度
    /(kN·m−3
    黏聚力
    /kPa
    内摩擦角
    /(°)
    饱和体积
    含水率/%
    饱和渗透系数
    /(m·d−1
    耕植土(粉质黏土)20.5/20.5810600.05
    含碎块石粉质黏土20.7/22.02521451.52
    滑带土①20.3/21.81115450.05
    滑带土②20.3/21.82016450.05
    强风化粉砂质泥岩22.5/23.43027201.24
    中风化粉砂质泥岩23.7/24.612530200.001
    注:“/”号前后分别为天然重度和饱和重度。
    下载: 导出CSV
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  • 收稿日期:  2022-02-27
  • 修回日期:  2022-05-29
  • 网络出版日期:  2023-05-16
  • 刊出日期:  2023-05-15

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