游淳淋, 黄明清, 丘浩禹. 基于多元数据归一化处理的破碎岩体质量分级[J]. 中国矿业, 2022, 31(8): 158-164. DOI: 10.12075/j.issn.1004-4051.2022.08.006
    引用本文: 游淳淋, 黄明清, 丘浩禹. 基于多元数据归一化处理的破碎岩体质量分级[J]. 中国矿业, 2022, 31(8): 158-164. DOI: 10.12075/j.issn.1004-4051.2022.08.006
    YOU Chunlin, HUANG Mingqing, QIU Haoyu. Quality classification of broken rock mass based on normalization of multivariate data[J]. CHINA MINING MAGAZINE, 2022, 31(8): 158-164. DOI: 10.12075/j.issn.1004-4051.2022.08.006
    Citation: YOU Chunlin, HUANG Mingqing, QIU Haoyu. Quality classification of broken rock mass based on normalization of multivariate data[J]. CHINA MINING MAGAZINE, 2022, 31(8): 158-164. DOI: 10.12075/j.issn.1004-4051.2022.08.006

    基于多元数据归一化处理的破碎岩体质量分级

    Quality classification of broken rock mass based on normalization of multivariate data

    • 摘要:

      合理的岩体质量分级是地下金属矿山采矿及支护设计的重要依据,为了准确划分破碎矿体岩体质量分级,在工程地质调查及岩石力学试验的基础上,依次采用RMR分级法、Q系统法、BQ法三种分类方法进行破碎岩体质量分级,并对多元数据进行归一化处理,从而得到改进的破碎岩体质量分级判定标准。研究结果表明,基于多元数据归一化处理的岩体质量分级方法适用于萨热克铜矿破碎矿岩体,矿体质量分级归一化平均值Z=0.57,综合判定为Ⅲ级(接近于Ⅱ级),属于中等稳固岩体。多类岩体质量分级方法的归一化处理可避免由于单一方法参数选取误差而造成的失真,处理结果与工程实际一致性较高,适用于同类围岩质量分级评价。

       

      Abstract:

      Reasonable rock mass quality classification is an important basis for mining and support design of underground metal mines.In order to accurately classify the rock mass quality classification of broken ore body, based on engineering geological survey and rock mechanics test, three classification methods of RMR, Q-system and BQ are used to classify the quality of broken rock mass, and the multivariate data are normalized, so as to obtain the improved judgment standard of broken rock mass quality classification.The results show that the rock mass quality classification method based on multivariate data normalization processing is suitable for the broken rock mass of Sarek Copper Mine.The normalized average value of ore body quality classification Z=0.57, which is comprehensively determined as grade Ⅲ(close to grade Ⅱ), belonging to medium stable rock mass.The normalization processing of multi-class rock mass quality classification method can avoid the distortion caused by the error of parameter selection of a single method.The processing results are highly consistent with the engineering practice, and are suitable for the quality classification evaluation of similar surrounding rocks.

       

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