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首页> 外文期刊>Arabian journal of geosciences >Evaluation of rock slopes susceptible to circular failures using logistic and multiple regression models
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Evaluation of rock slopes susceptible to circular failures using logistic and multiple regression models

机译：使用物流和多元回归模型的岩石斜坡评估易受圆形故障的影响

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摘要

The analysis of stability of slopes is a classical problem for geotechnical engineers. In practice, many methods are available for the desired purpose, from basic kinematic analysis to two- and three-dimensional limit equilibrium analyses and numerical modeling with various user-friendly softwares. However, additional techniques are also required to provide knowledge necessary for decision-making. In this research, a reliable dataset provided by Sah et al. (1994) was used to analyze the stability evaluation of rock slopes subjected to circular failures. For this purpose, using Slide 2018 program, 44 separate limit equilibrium slope models were built for each case given in the original work. The provided material properties and slope geometries in heavily fractured and/or very weak or highly weathered rock masses were considered during the model building stage. It was found that Slide 2018 program generated dissimilar safety factors compared to those given by Sah et al. (1994) for the investigated slope cases. Binary logistic and multiple linear regression techniques were implemented in the study to promote alternative approaches for the prediction of the stability condition and safety factor (SF) of slopes excavated in heavily fractured/highly weathered rock masses. The condition of slopes (stable or failed) was predicted by binary logistic regression model with 90.9% accuracy. The SF of the slopes was estimated by a multiple linear regression model with 95.6% accuracy. It was concluded that both statistical techniques could be sufficiently used as alternative approaches to predict the stability condition and SF of rock slopes prone to circular (rotational) failures.
机译：对岩石稳定性的分析是岩土工程师的经典问题。在实践中，许多方法可用于所需的目的，从基本的运动分析到两维限制平衡分析和数值模拟，具有各种用户友好的软件。然而，还需要额外的技术来提供决策所需的知识。在这项研究中，Sah等人提供的可靠数据集。 （1994）用于分析岩石斜坡对循环故障的稳定性评估。为此目的，使用幻灯片2018程序，为原始工作中给出的每种情况都构建了44个单独的极限平衡斜率模型。在模型建筑阶段考虑了在模型建筑阶段考虑了在模型建筑阶段的大裂缝和/或非常弱或非常弱或高度风化的岩体的材料特性和斜坡几何形状。发现幻灯片2018程序与Sah等人给出的那些相比产生不同的安全因子。 （1994年）为调查的斜坡案件。在研究中实施了二进制逻辑和多元线性回归技术，以促进在严重裂缝/高度风化的岩体中挖掘的斜坡稳定性和安全系数（SF）预测的替代方法。通过二元逻辑回归模型预测了斜坡（稳定或失败）的条件，精度为90.9％。斜坡的SF由多元线性回归模型估算，精度为95.6％。得出结论，统计技术都可以充分用作预测岩石斜坡容易出现圆形（旋转）故障的稳定条件和SF的替代方法。

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