霍秉尧, 宁奕冰, 唐辉明, 等. 2024. 澜沧江中上游反倾斜坡倾倒变形影响因素敏感性及斜坡易倾倒几何模型研究[J]. 工程地质学报, 32(3): 1035-1056. doi: 10.13544/j.cnki.jeg.2024-0060.
    引用本文: 霍秉尧, 宁奕冰, 唐辉明, 等. 2024. 澜沧江中上游反倾斜坡倾倒变形影响因素敏感性及斜坡易倾倒几何模型研究[J]. 工程地质学报, 32(3): 1035-1056. doi: 10.13544/j.cnki.jeg.2024-0060.
    Huo Bingyao, Ning Yibing, Tang Huiming, et al. 2024. Investigation on the sensitivity of influencing factors and a geometric model for slope stability analysis in the middle and upper reaches of Lancang River[J]. Journal of Engineering Geology, 32(3): 1035-1056. doi: 10.13544/j.cnki.jeg.2024-0060.
    Citation: Huo Bingyao, Ning Yibing, Tang Huiming, et al. 2024. Investigation on the sensitivity of influencing factors and a geometric model for slope stability analysis in the middle and upper reaches of Lancang River[J]. Journal of Engineering Geology, 32(3): 1035-1056. doi: 10.13544/j.cnki.jeg.2024-0060.

    澜沧江中上游反倾斜坡倾倒变形影响因素敏感性及斜坡易倾倒几何模型研究

    INVESTIGATION ON THE SENSITIVITY OF INFLUENCING FACTORS AND A GEOMETRIC MODEL FOR SLOPE STABILITY ANALYSIS IN THE MIDDLE AND UPPER REACHES OF LANCANG RIVER

    • 摘要: 倾倒是反倾岩质斜坡常见的失稳类型,其变形破坏受多种因素影响。为探究各类因素对反倾斜坡倾倒变形的影响程度及其对变形模式的控制作用,本文以澜沧江中上游反倾岩质斜坡为研究对象,建立了反倾斜坡倾倒变形影响因素体系,结合离散元数值模拟试验结果及改进灰色关联分析理论,对各类影响因素的敏感性进行了研究。在此基础上,以斜坡几何特征参数为输入,基于支持向量回归(SVR)理论对研究区反倾斜坡倾倒变形易发几何模型进行预测。结果表明:(1)反倾斜坡的几何特征参数敏感性最高,水平构造应力次之,岩体力学参数敏感性最弱。(2)反倾斜坡的变形量与变形深度与上下坡角呈正相关,变形深度与岩层倾角呈正相关,但变形量随岩层倾角的增大先增大后减小。(3)研究区内的反倾斜坡存在4种变形模式:稳定斜坡、潜在变形斜坡、浅层倾倒斜坡及深层倾倒斜坡。(4)在研究区内,岩层倾角小于57°的斜坡总体保持稳定;超过57°有产生浅层倾倒变形的可能;超过63°时有产生深层倾倒的可能;达到81°,岸坡普遍产生倾倒变形。本研究成果可为此类斜坡变形体的野外早期识别与灾害危险性评估提供可靠理论参考。

       

      Abstract: Toppling is a prevalent form of instability in anti-dip rock slopes, and its deformation and failure are influenced by multiple factors. In order to investigate the extent of influence exerted by various factors on the tipping deformation of anti-dip slopes and their control over the deformation mode, this study focuses on the anti-dip rock slope in the middle and upper reaches of the Lancang River as a research subject. A systematic framework is established for analyzing toppling deformation in anti-dip slopes, and the sensitivity of different influencing factors is examined through discrete element numerical simulation tests combined with an improved grey correlation analysis theory. The geometric model prone to overturning deformation of anti-inclined slope in the study area is predicted based on the support vector regression(SVR)theory, incorporating slope geometric feature parameters. The results indicate that: (1)The geometric characteristic parameters of the anti-dip slopes have the highest level of sensitivity, followed by horizontal tectonic stress, while the mechanical parameters of the rock mass demonstrate the weakest sensitivity; (2)The deformation amount and depth of anti-dip slopes exhibit a positive correlation with the upper and lower slope angles, while the deformation depth demonstrates a positive correlation with the dip angle of rock layers. However, the deformation amount initially increases and subsequently decreases as the dip angle of rock layers increases; (3)Four deformation patterns have been identified within the study area, namely stable slope, potential deformation slope, shallow toppling slope and deep-seated toppling slope; (4)In the study area, slopes with a dip angle of less than 57°generally exhibit stability; shallow toppling deformation may occur when the dip angle exceeds 57°, deep-seated toppling deformation becomes possible beyond 63°, and at an inclination of 81°, the slope is highly susceptible to toppling deformation. The research findings offer a dependable theoretical framework for the early identification and hazard assessment of slope deformations in the field.

       

    /

    返回文章
    返回