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针对26个试验样本边坡实例,选取重度、内聚力、内摩擦角、边坡角、边坡高度、孔隙水压力比等6个滑坡影响因素作为滑坡因子,应用模糊综合评判法和逻辑回归模型评价,分析4个预测样本边坡的稳定性,对比预测样本的边坡稳定性等级和滑坡概率。结果表明,逻辑回归模型精度高于模糊综合评判且客观性强,但需要较多的统计数据,实际应用中需根据边坡具体情况合理选择。
According to the sample of 26 test samples, six landslide influencing factors such as severe, cohesion, internal friction angle, slope angle, slope height and pore water pressure ratio were selected as landslide factors, and fuzzy comprehensive evaluation and logistic regression model , The stability of the four predicted samples was analyzed, the slope stability level and the probability of landslide were compared with the predicted samples. The results show that the accuracy of the logistic regression model is higher than that of the fuzzy comprehensive evaluation and the objectivity is strong, but more statistical data are needed. In practice, the reasonable choice should be made according to the specific conditions of the slope.