|本期目录/Table of Contents|

[1]陈娇,罗周全,侯造水.基于改进突变级数法的金属矿采空区稳定性评价[J].中国安全生产科学技术,2013,9(11):17-24.[doi:10.11731/j.issn.1673-193x.2013.11.003]
 CHEN Jiao,LUO Zhou quan,HOU Zao shui.Stability evaluation of metal mine goaf based on improved catastrophe progression method[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2013,9(11):17-24.[doi:10.11731/j.issn.1673-193x.2013.11.003]
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基于改进突变级数法的金属矿采空区稳定性评价
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
9
期数:
2013年11期
页码:
17-24
栏目:
学术论著
出版日期:
2013-11-30

文章信息/Info

Title:
Stability evaluation of metal mine goaf based on improved catastrophe progression method
作者:
陈娇罗周全侯造水
(中南大学 资源与安全工程学院,湖南长沙410083
Author(s):
CHEN Jiao LUO Zhouquan HOU Zaoshui
(School of Resource & Safety Engineering, Central Southern University, Changsha Hunan 410083, China)
关键词:
金属矿采空区稳定性评价突变级数法主成分分析法
Keywords:
metal mine goaf stability evaluation catastrophe progression method principal component analysis method
分类号:
X936
DOI:
10.11731/j.issn.1673-193x.2013.11.003
文献标志码:
A
摘要:
为了有效、科学地对金属矿采空区的稳定性进行评价,提出基于改进突变级数法的采空区稳定性分析模型。根据改进突变级数法,对影响采空区稳定的9个因素进行多层次分解,并运用主成分分析法确定各层指标的相对重要性,以获得采空区稳定性评价指标体系。为得到最后的评价结果,对数据进行归一化处理,并结合突变理论与模糊数学理论,进行综合量化运算。利用搜集的26组地下金属矿采空区数据,对该评价模型进行训练和检验。研究表明,该评价模型既有效地避免了直接使用难于确定的“权重”概念,又客观地确定了各层指标的相对重要性,其判别结果比较符合实际,为金属矿采空区稳定性评价提供了一种新方法。
Abstract:
In order to evaluate the goaf stability of metal mines effectively and scientifically, based on the improved catastrophe progression method, an integrative identification model for the stability classification of goaf was presented. Nine control factors were selected in the analysis of multilevel objective decomposition,and their relative importance were determined by analyzing measured data using principal component analysis method. According to the catastrophe theory and the fuzzy member function, the data were normalized and the catastrophic affiliated functional value was calculated, then a catastrophe progression model was obtained to classify the stability classification of goaf. 26 typical goaf cases of metal mines were collected to train and test the improved catastrophe progression model. The results showed that the identification model both effectively avoids the direct use of the “weight” concept which is difficult to determine, and objectively determines the relative importance of each layer indicators. It has excellent performance and high prediction accuracy, and can be used to evaluate the stability of metal mine goaf.

参考文献/References:

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备注/Memo

备注/Memo:
“十二五”国家科技支撑计划项目(2012BAK09B02-05)
更新日期/Last Update: 2013-11-30