基于倾斜摄影与FLAC3D耦合的水库堆积层滑坡稳定性分析

    Analysis on Reservoir Accumulation Layer Landslide Stability Based on Coupling of Oblique Photography and FLAC3D

    • 摘要: 为解决传统滑坡稳定性分析方法在中小型水库堆积层滑坡精细化评估中存在的局部隐患量化不足、多工况耦合模拟精度低等问题,提出无人机倾斜摄影与FLAC3D深度耦合的分析方法。以南京金牛山水库为例,针对滑坡后缘陡壁、前缘库岸、中部植被覆盖的复杂地形特征,采用无人机倾斜摄影数据融合钻孔勘察与室内试验数据,构建高精度三维模型,基于常水位、库水位骤升、库水位骤降、降雨、地震等5类典型工况,开展多因素耦合模拟,系统分析了多场耦合失稳机制与敏感性规律。研究表明,无人机倾斜摄影与FLAC3D耦合的分析方法在地形建模精度、稳定性分析深度上显著优于传统方法。

       

      Abstract: Traditional landslide stability analysis methods often fall short in the refined assessment of small- and medium-sized reservoir accumulation layer landslides, particularly in insufficient quantification of local hazards and low accuracy of multi-condition coupling simulation. To address these limitations, it proposes an integrated analytical approach based on deep coupling of unmanned aerial vehicle(UAV)oblique photography and FLAC3D. Taking Nanjing Jinniu Lake Reservoir as an example, we constructed a high-precision 3D model by using UAV oblique photography data with borehole investigation and laboratory test results, accounting for the complex terrain features of the landslide(e.g., steep back wall, front reservoir bank, and vegetation-covered middle section). Multi-factor coupling simulations were conducted under five typical working conditions: normal water level, sudden rise of reservoir water level, sudden drop of reservoir water level, rainfall, and earthquake, to systematically analyze the multi-field coupling instability mechanism and sensitivity patterns. Results indicate that the coupled method of UAV oblique photography and FLAC3D outperforms traditional approaches significantly in terms of terrain modeling accuracy and depth of stability analysis.

       

    /

    返回文章
    返回