董秀军, 许强, 唐川, 杨帆. 2015: 滑坡位移-时间曲线特征的物理模拟试验研究. 工程地质学报, 23(3): 401-407. DOI: 10.13544/j.cnki.jeg.2015.03.005
    引用本文: 董秀军, 许强, 唐川, 杨帆. 2015: 滑坡位移-时间曲线特征的物理模拟试验研究. 工程地质学报, 23(3): 401-407. DOI: 10.13544/j.cnki.jeg.2015.03.005
    DONG Xiujun, XU Qiang, TANG Chuan, YANG Fan. 2015: CHARACTERISTICS OF LANDSLIDE DISPLACEMENT-TIME CURVE BY PHYSICAL SIMULATION EXPERIMENT. JOURNAL OF ENGINEERING GEOLOGY, 23(3): 401-407. DOI: 10.13544/j.cnki.jeg.2015.03.005
    Citation: DONG Xiujun, XU Qiang, TANG Chuan, YANG Fan. 2015: CHARACTERISTICS OF LANDSLIDE DISPLACEMENT-TIME CURVE BY PHYSICAL SIMULATION EXPERIMENT. JOURNAL OF ENGINEERING GEOLOGY, 23(3): 401-407. DOI: 10.13544/j.cnki.jeg.2015.03.005

    滑坡位移-时间曲线特征的物理模拟试验研究

    CHARACTERISTICS OF LANDSLIDE DISPLACEMENT-TIME CURVE BY PHYSICAL SIMULATION EXPERIMENT

    • 摘要: 位移-时间曲线表征了滑坡变形状态及相对的稳定性程度,是监测滑坡变形和失稳预测至关重要的数据资料。目前所获取的滑坡变形全过程监测资料并不多,大多数是临滑前的短期监测资料,而一些突发型滑坡的变形监测资料更是难以收集。由此,滑坡位移-时间曲线簇的类型及分布特征的研究受到了数据资料不足的约束而难以开展,一些滑坡预警理论都是基于推断和理论分析的基础上而得出的,缺少数据支撑。本文通过物理模拟的办法,自行设计制作了变角度的物理模拟试验框架,开发完成了位移数据的自动采集系统,经一年多的试验测试,对试验设备软硬件及模型材料不断调整、优化,完成了7组12条位移-时间曲线的采集工作,从而获取了不同受力条件下斜坡的变形破坏的时间-位移曲线簇,为进一步的理论研究提供了科学的数据资料。

       

      Abstract: Displacement-time curves represent the status and relative stability of landslide deformation. They are vital to predict landslide deformation monitoring. Currently, landslide deformation monitoring data on the whole process is rare. Most monitoring data is short-term before sliding event. The deformation monitoring data of some unexpected landslide is even more difficult to collect. Therefore, studies on the type and distribution of curve clusters are difficult due to the lack of data. Some of the landslide warning theories are derived from inferential and theoretical analysis and lack data support. With a physical modeling approach, a physic simulation framework is designed for variable angle. The displacement data automatic acquisition system is developed. During the testing for more than one year, the equipments and model materials are continuously adjusted and optimized. Eventually, seven groups of twelve displacement-time curves are collected. The landslide deformation and failure of displacement-time curve clusters under different loading conditions are obtained. They are scientific data for further theoretical research.

       

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