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岩石质量模糊综合评价模型及应用
引用本文:苗胜军,王子木,刘亚运,崔少建,张邓.岩石质量模糊综合评价模型及应用[J].中国矿业,2017,26(7).
作者姓名:苗胜军  王子木  刘亚运  崔少建  张邓
作者单位:北京科技大学 土木工程与资源学院,北京科技大学 土木工程与资源学院,房山区燕山审计分局,鞍山钢铁集团矿业公司,北京科技大学 土木工程与资源学院
基金项目:国家重点基础研究发展计划( 973) 资助项目( 2015CB060200) ;国家自然科学基金资助项目( 51574014)
摘    要:为了评价岩石的稳定性,基于岩石质量影响因素的不确定性,应用模糊数学方法,选取了能够间接反映岩石质量的6项主要指标,构建了影响岩石质量的指标体系。根据最大隶属度原则,采用模糊综合评价原理对6项指标进行评价和处理,得出了岩石质量的数学评价模型。在分别对不同部位的岩石样品的6项指标进行室内测试得到相关数据后,运用该模型对不同部位的岩石样品进行了评价,将结果与工程实际情况进行对比,结果表明,该模型的评价结果与矿区实际情况基本一致。证明了岩石质量模糊综合评价模型的科学性和可行性。

关 键 词:岩石质量  模糊综合评价  最大隶属度原则  评价模型
收稿时间:2017/1/23 0:00:00
修稿时间:2017/4/13 0:00:00

A model for fuzzy comprehensively evaluating rocks quality and its application
MIAO Shengjun,WANG Zimu,LIU Yayun,CUI Shaojian and ZHANG Deng.A model for fuzzy comprehensively evaluating rocks quality and its application[J].China Mining Magazine,2017,26(7).
Authors:MIAO Shengjun  WANG Zimu  LIU Yayun  CUI Shaojian and ZHANG Deng
Affiliation:School of Civil and ResourcesEngineering,University of Science and Technology Beijing,School of Civil and ResourcesEngineering,University of Science and Technology Beijing,Yanshan audit bureau in Fangshan district,Anseel Mining,Anshan Liaoning,School of Civil and ResourcesEngineering,University of Science and Technology Beijing
Abstract:Based on the indeterminacy of surrounding rock quality, the fuzzy mathematical method is established for evaluating the stability of surrounding rock.Six indirect factors on rock quality are chosen to test in laboratory. Fuzzy comprehensive evaluation have been found after processing those indirect factors by principal component analysis based on maximum membership principl and the evaluation model for rock quality has been got. . The quality of rock is evaluated by the model base on principal component analysis, and the quality sort of six factors of diferent rocks is given. It is shown that the evaluation results by the model and the actual quality of rock samples are well coherent.
Keywords:surrounding  rock quality  fuzzy  comprehensive evaluation  maximum  membership principle  evaluation  model
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