基于模糊聚类的岩体结构面动态聚类方法研究

针对传统的岩体结构面分组方法的缺点，提出了基于模糊聚类的结构面动态聚类方法。首先以模糊聚类法对结构面样本进行分组，得到优势分组及各组优势产状，并将其作为动态聚类法的初始划分；再采用动态聚类法对结构面样本进行更进一步的聚类分析。该法克服了动态聚类算法对初始聚心敏感及易收敛于局部极小值的缺点，提高了分组结果和优势产状的客观性及准确性。将算法应用于野外实测岩体结构面产状数据分析中，得到的聚类结果合理、可靠，符合实际情况。

Study on dynamic clustering method based on fuzzy clustering of structural interface of rock mass

Aiming at the shortcomings of the traditional classifying analysis of rock structural interfaces,a dynamic clustering method based on fuzzy clustering is presented.We firstly use the fuzzy clustering to classify the structural interfaces samples and obtain the prevailed grouping and the prevailed occurrence of the samples,and take the results as the initial partition of dynamic clustering to further group the structural interfaces samples by dynamic clustering method.It can overcome the shortcomings,including sensitivity to initialization and convergence to a local minimum and improve the objectivity and accuracy of analysis result.The presented algorithm has been used in analyzing the field measured occurrence data of discontinuities in real rock mass,and the results is reasonable and credible comparing with the fact.