基于改进模糊聚类迭代的边坡稳定性评价方法

Slope stability evaluation method based on improved fuzzy clustering iteration

针对影响土质边坡稳定性因素的模糊性、复杂性、和随机性问题.通过将灰色关联分析理论与模糊聚类迭代模型相结合,得到改进的模糊聚类迭代模型,提出了一种新的边坡稳定性评价方法,并结合工程实例实现了稳定性的评价.相比于以往的研究,该模型将影响边坡稳定性的内外因素确定为六个主要因素,并用灰色关联理论得到各影响因素的权重,这样避免了传统模糊聚类模型人为的主观性带来的误差,提高了模型评价精度.为验证该方法的合理性,运用该方法计算的结果与BP神经网络预测的结果以及边坡实际情况进行对比验证,得到了较为一致的结果,表明该方法可以用于边坡的稳定性评价.

In view of the complexity, randomness and fuzziness of the influencing factors on the soil slope stability, a new evaluation method of slope stability based on the fuzzy clustering iterative model is proposed.By introducing the grey correlation analysis theory, the improved fuzzy clustering iterative model is constructed,and the slope stability is evaluated combined with engineering examples. Compared with previous studies, six main factors are determined through the internal and external factors of the slope, and the weight of each influencing factor is obtained by gray relational theory, avoiding the error of human subjectivity in the traditional fuzzy clustering model, which can further improve the accuracy of the evaluation model. In order to verify the rationality of this method, the results calculated by this method are compared with the BP neural network evaluation method and the actual situation of slope, and the results are consistent, which shows that the method is effective in evaluating the stability of the slope.