基于萤火虫算法的岩体结构面优势产状聚类分析

发布时间：2018-01-20 03:45

本文关键词： 岩石力学结构面产状数据划分聚类方法萤火虫算法　出处：《东北大学学报(自然科学版)》2015年02期 　论文类型：期刊论文

【摘要】：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.
[Abstract]:The traditional graphic analysis method is rough, and the subjective factors have great influence. Therefore, a new method based on firefly algorithm is proposed to partition the occurrence data of rock mass structural plane. The unit normal vector of structural plane is used to represent the occurrence of structural plane. The distance between structures is measured by the sinusoidal value of the sharp angle of the unit normal vector, and the fuzzy objective function is established, and then the optimal clustering center is searched by the firefly optimization algorithm. At the same time, the boundary between groups is determined. Because of the excellent global optimization ability and fast convergence speed of the firefly algorithm. The new algorithm is very time-saving and efficient in solving the problem of structural surface occurrence. Finally, the algorithm is used to partition the observed data of the structure surface in the Songta dam area of Nujiang River, and the results show that the algorithm is effective and efficient in solving the problem of structural surface occurrence. This method is reasonable and effective and has obvious advantages.
【作者单位】：吉林大学建设工程学院;
【基金】：国家自然科学基金重点资助项目(41330636)
【分类号】：TU452
【正文快照】： 岩体中广泛分布的不连续结构面使岩体具有强烈的不连续性、非均质性和各向异性.结构面对岩体力学性质的影响主要取决于结构面的发育状况.如岩性完全相同的两种岩体,由于结构面的空间方位、密度、规模、宽度、表面起伏形态及其组合关系不同,它们的力学性质会有很大的差异.因此,

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