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露天矿边坡潜在破坏模式的识别仍然值得深入研究。基于距离判别分析理论,结合露天矿边坡失稳的特点,选取岩石单轴抗压强度、结构面倾角、结构面与边坡面的位置关系、地下水条件、岩体结构类型、黏聚力、内摩擦角、边坡高度、边坡角等9个因素作为判别露天矿边坡潜在破坏模式的指标,建立露天矿边坡潜在破坏模式识别的距离判别分析模型。以21个典型露天矿边坡的信息作为学习样本进行训练,建立相应的判别函数进行识别,并以回代估计法对该模型进行检验。研究结果表明,经过学习后的模型误判率为0.05,即判别能力是高的。用所建立的模型判别某露天矿边坡的失稳模式,判别结果和期望结果比较符合。
The identification of potential damage patterns of open pit slopes is still worth further study. Based on the theory of distance discriminant analysis and combined with the characteristics of slope failure in open pit mine, uniaxial compressive strength of rock, structural face inclination angle, the relationship between structural plane and slope surface, groundwater conditions, rock mass structure type, cohesion, Internal friction angle, slope height, slope angle and other 9 factors as an index to judge the potential failure mode of open pit slope, and establish the distance discriminant analysis model of potential failure mode identification of open pit slope. The information of 21 typical open pit slopes is used as training samples to establish corresponding discriminant functions for identification. The model is verified by the back-estimation method. The results show that the misjudgment rate of the model after learning is 0.05, that is, the discriminating ability is high. The established model is used to judge the failure mode of the slope of an open pit mine. The result of the discrimination is in good agreement with the expected result.