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1. 中国地质大学(武汉)工程学院
2. 华新水泥股份有限公司
3. 华新超可隆新型建材科技(黄石)有限公司
Online First:21 March 2025,
Published:2025
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谢云轩, 汪洋, 王梦瑶, et al. 基于物理模型试验的库岸滑坡水阻力系数研究[J]. Bulletin of Geological Science and Technology, 2025, 44(2): 59-66.
谢云轩, 汪洋, 王梦瑶, et al. 基于物理模型试验的库岸滑坡水阻力系数研究[J]. Bulletin of Geological Science and Technology, 2025, 44(2): 59-66. DOI: 10.19509/j.cnki.dzkq.tb20240247.
水阻力是影响库岸滑坡运动速度的关键因素之一,为了量化库岸滑坡入水的阻力计算,并进一步为库岸滑坡入水速度的分析提供试验数据和理论基础,设计了入水阻力系数的测试试验,基于水下试块动力学与运动学方程建立了水阻力系数计算模型。采用无量纲化分析方法对试验结果进行了分析,研究了各无量纲因子对水阻力系数的影响,通过多元线性回归分析得出了水阻力系数理论公式。以2018年10月11日西藏自治区达江县白格滑坡第1次滑坡为例,应用水阻力系数理论公式对白格滑坡速度进行了计算,并与其他方法得出的速度计算结果进行了对比分析。结果表明:随着相对速度的增加,水阻力系数整体呈现先上升后下降的趋势;随着相对横截面积增加,水阻力系数减小。水阻力系数理论公式的拟合度R2=0.77,表明理论公式具有较好准确度。与现有计算结果相比,在考虑水阻力的情况下白格滑坡最大运动速度减小了23.5%,最大速度差值为8.5 m/s,最大速度时刻延后了7.7 s。研究提出了水阻力系数计算模型,初步解决了水阻力系数取值困难的问题,有利于提高库岸滑坡入水速度的预测精度。
ObjectiveHydrodynamic resistance is one of the key factors influencing the velocity of landslides entering water. To quantify the resistance experienced by reservoir bank landslides upon water entry and provide experimental data and a theoretical basis for analyzing their entry velocity
this study designed an experiment to measure the water entry resistance coefficient. MethodsBased on the dynamics and kinematics equations of submerged test blocks
a comprehensive calculation model for the water resistance coefficient was established. The experimental results were analyzed using dimensionless analysis methods to investigate the effects of various dimensionless factors on the water resistance coefficient. A multiple linear regression analysis was conducted to derive the comprehensive water resistance coefficient calculation model. Taking the Baige landslide of October 11
2018
as a case study
the velocity of the Baige landslide was calculated using the theoretical formula for the water resistance coefficient
and the results were compared with those obtained from other methods. ResultsThe results indicate that as relative velocity increases
the comprehensive water resistance coefficient initially rises and then decreases. Additionally
as the relative cross-sectional area increases
the comprehensive water resistance coefficient decreases. The theoretical formula for the water resistance coefficient has a coefficient of determination (R2) of 0.77
demonstrating good accuracy. Compared to existing calculation results
considering hydrodynamic resistance
the maximum movement speed of the Baige landslide decreased by 23.5%
with a maximum speed difference of 8.5 m/s
and the time at which the maximum speed occurred was delayed by 7.7 seconds. ConclusionThis study proposes a comprehensive calculation model for the water resistance coefficient
addressing the challenge of determining its value accurately. This model contributes to improving the prediction accuracy of the entry velocity of reservoir bank landslides
thereby enhancing risk assessment and mitigation efforts.
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