基于萤火虫算法的岩体结构面优势产状聚类分析

传统的图形分析方法较为粗糙,且主观因素影响较大,因此提出一种基于萤火虫算法的岩体结构面产状数据划分的新方法.用结构面单位法向量表示结构面的产状,通过单位法向量所夹锐角正弦值来衡量结构面间的距离,并建立模糊目标函数,然后运用萤火虫优化算法搜索最优聚类中心,同时确定组间边界.由于萤火虫算法具有出色的全局寻优能力和较快的收敛速度,使得新算法在解决结构面产状划分问题时非常省时高效.最后应用此算法对怒江松塔坝址区平硐实测结构面产状数据进行优势组划分,结果显示,此方法合理有效,优势明显.

Clustering Analysis of Dominative Attitudes of Rock Mass Structural Plane Based on Firefly Algorithm

Traditional graphic analysis is inadequate and greatly influenced by subjective experience. A new method based on firefly algorithm is proposed to partition the discontinuity orientation data. The sine of the acute angle between the unit normal vector of two discontinuities is used to quantify the distance between the orientation of these discontinuities. Then， the fuzzy objective function is established and firefly algorithm is chosen to search the optimal clustering centers. At the same time， the boundaries between different sets are determined. Since the firefly algorithm has the outstanding ability of global optimization and a fast convergence speed， the new algorithm has the advantages of time saving and high efficiency. Finally， this new method is applied in discontinuity orientation data partition at Songta dam site， Nujiang River. The results indicate that the new approach is reasonable and has obvious superiority.