摘要
为了对矿井小构造参数进行预测,利用灰色关联度分析按关联度大小对各介质参数进行排序,选取断层密度、断层分维值和断层强度指数关联度高的介质参数作为主控因素。结果表明,断层密度的分布不稳定,断层强度和断层分维值高值区的分布相对集中,同时也反映了落差大、延伸长、密度大、断层穿插复杂的区域,构造活动强度大,其形成的断层参数值也相应较大。
In order to predict the small structure parameters of mines,grey correlation analysis was used to rank the parameters of each medium according to the degree of correlation.The medium parameters with high correlation between fault density,fault fractal dimension value,and fault strength index were selected as the main controlling factors.The results indicate that the distribution of fault density was unstable,and the distribution of high value areas of fault strength and fault fractal dimension was relatively concentrated.At the same time,it also reflected areas with large drops,long extensions,high density,and complex fault interlayers.The intensity of tectonic activity was high,and the parameter values of the formed faults were correspondingly large.
作者
王峰
张富魁
肖俊
牛超
王江平
颜飞
雷敏刚
师坤
Wang Feng;Zhang Fukui;Xiao Jun;Niu Chao;Wang Jiangping;Yan Fei;Lei Mingang;Shi Kun(SHCCIG Chenghe Mining Industry Co.,Ltd.,Weinan 719000,China;School of Geology and Environment,Xi′an University of Science and Technology,Xi′an 710054,China)
出处
《能源与环保》
2024年第5期133-138,共6页
CHINA ENERGY AND ENVIRONMENTAL PROTECTION
关键词
灰色关联
BP神经网络
小构造预测
grey correlation
BP neural network
small structure prediction
