[1]郭金栋,朱云辉.煤层冲击倾向性变权重可变集分类识别[J].西安科技大学学报,2017,(03):410-417.[doi:10.13800/j.cnki.xakjdxxb.2017.0316]
 GUO Jin-dong,ZHU Yun-hui.Integrated variable weight and variable sets classification recognitionmethod for rock burst tendency of coal seam[J].Journal of Xi'an University of Science and Technology,2017,(03):410-417.[doi:10.13800/j.cnki.xakjdxxb.2017.0316]
点击复制

煤层冲击倾向性变权重可变集分类识别(/HTML)
分享到:

西安科技大学学报[ISSN:1672-9315/CN:61-1434/N]

卷:
期数:
2017年03期
页码:
410-417
栏目:
出版日期:
2017-05-30

文章信息/Info

Title:
Integrated variable weight and variable sets classification recognitionmethod for rock burst tendency of coal seam
文章编号:
1672-9315(2017)03-0410-08
作者:
郭金栋12朱云辉12
1.淮南职业技术学院 技工部,安徽 淮南 232001; 2.安徽淮南矿业技师学院,安徽 淮南 232035
Author(s):
GUO Jin-dong12ZHU Yun-hui12
1.Advanced Technical School,Huainan Vocational Technical College,Huainan 232001,China; 2.Huainan Mining Technician College,Huainan 232035,China
关键词:
冲击地压 冲击倾向性 可变集识别模型 变权模型 博弈论 类别特征值
Keywords:
Key words: rock burst bursting liability variable sets recognition model variable weight model game theory grade feature value
分类号:
TD 324,X 936
DOI:
10.13800/j.cnki.xakjdxxb.2017.0316
文献标志码:
A
摘要:
针对煤层冲击倾向性评价的模糊不确定性问题,为准确合理地评判冲击倾向性强弱,提出变权重可变集分类识别模型。模型选取动态破坏时间、弹性能量指数、冲击能量指数和单轴抗压强度作为分类指标,采用CRITIC法计算指标客观常权,利用指标数据与指标分类标准值区间的关系求解指标客观变权,最后运用博弈论对主客观权重进行优化集成,得到评价对象的变权权向量。引入可变集理论合理确定评价指标对各类别指标标准值区间的相对差异度,建立冲击倾向性可变集评价模型,依据类别特征值判断评价对象的隶属类别。实例表明,该方法较好地考虑了模型参数与样本指标权重的可变性,能科学合理地评价煤层冲击倾向性,识别结果更为可信,为煤岩冲击倾向鉴定与冲击地压危险性预测提供了新的方法和思路。
Abstract:
Abstract:Aiming at the fuzzy uncertainty problems for rock burst tendency evaluation of coal seam,a classification recognition method using variable weight and variable sets was proposed to improve the recognition accuracy of bursting liability.Four indexes were selected as classifying indexes including duration of dynamic fracture,elastic strain energy index,bursting energy index and uniaxial compressive strength.The fixed weight of evaluation index was gained based on CRITIC,and variable weight of sample index was calculated by index data and standard value of index classification.Then the game theory optimization model was introduced to determine variable weight vector of evaluation sample considering subjective weights and objective weights.The relative difference degree between each index and standard interval of each level index was reasonably calculated by variable sets theory.Variable sets model was established to identify sample grade by stable grade feature value.The results show that the proposed approach can be applied to evaluate the rock burst tendency accurately based on the change of model parameters and index variable weight,and the assessment result can be more reliable.It provides a new theory and approach for identification of bursting liability and prediction of rock burst.

参考文献/References:

[1] 齐庆新,彭永伟,李宏艳,等.煤岩冲击倾向性研究[J].岩石力学与工程学报,2011,30(S1):2 736-2 742. QI Qing-xin,PENG Yong-wei,LI Hong-yan,et al.Study of bursting liability of coal and rock[J].Chinese Journal of Rock Mechanics and Engineering,2011,30(S1):2 736-2 742.
[2]张绪言,冯国瑞,康立勋,等.用剩余能量释放速度判定煤岩冲击倾向性[J].煤炭学报,2009,34(9):1 165-1 168. ZHANG Xu-yan,FENG Guo-rui,KANG Li-xun,et al.Method to determine burst tendency of coal rock by residual energy emission speed[J].Journal of China Coal Society,2009,34(9):1 165-1 168.
[3] Kidybinski A.Bursting liability indices of coal[J].Int. J. Rock Mech. and Min. Sci. and Geomech. Abstr.,1981,18( 6):295-304.
[4] 中华人民共和国行业标准编写组.GB/T25217.2-2010煤的冲击倾向性分类及指数的测定方法[S].北京:中国标准出版社,2010. The Professional Standards Compilation Group of Peoples Republic of China.GB/T25217.2-2010 Classification and laboratory test method on bursting liability of coal[S].Beijing:Standards Press of China,2010.
[5] 张周权,吴兴荣,陈立高.煤矿冲击矿压控制技术[M].北京:煤炭工业出版社,2008. ZHANG Zhou-quan,WU Xing-rong,CHEN Li-gao.Control technology of rock burst in coal mining[M].Beijing:China Coal Industry Press,2008.
[6] 潘一山,耿 琳,李忠华.煤层冲击倾向性与危险性评价指标研究[J].煤炭学报,2010,35(12):1 975-1 978. PAN Yi-shan,GENG Lin,LI Zhong-hua.Research on evaluation indices for impact tendency and danger of coal seam[J].Journal of China Coal Society,2010,35(12):1 975-1 978.
[7] 王 超,王恩元,刘晓斐.基于熵权-理想点法的煤层冲击倾向性分类[J].辽宁工程技术大学学报:自然科学版,2012,31(6):838-841. WANG Chao,WANG En-yuan,LIU Xiao-fei.Classification of rock burst tendency of coal seam based on entropy and ideal point method[J].Journal of Liaoning Technical University:Natural Science,2012,31(6):838-841.
[8]贾兴旺,王恩元.基于属性数学模型煤的冲击倾向性分类[J].煤矿安全,2014,45(4):156-162. JIA Xing-wang,WANG En-yuan.Coal burst tendency classification based on attribute mathematical model[J].Safety in Coal Mines,2014,45(4):156-162.
[9]陈守煜.可变模糊集理论与模型及其应用[M].大连:大连理工大学出版社,2009. CHEN Shou-yu.Theory and model of engineering variable fuzzy sets and its application[M].Dalian:Dalian University of Technology Press,2009.
[10]陈守煜.可变集-可变模糊集的发展及其在水资源系统中的应用[J].数学的实践与认识,2012,42(1):92-101. CHEN Shou-yu.Variable sets the development of variable fuzzy sets and the applications in assessment of water resource[J].Mathematics in Practice and Theory,2012,42(1):92-101.
[11]陈守煜.基于可变集的水资源系统可持续发展态势预测原理与方法[J].大连理工大学学报,2013,53(1):108-113. CHEN Shou-yu.Sustainable development trend forecast theory and method of water resources system based on variable sets[J].Journal of Dalian University of Technology,2013,53(1):108-113.
[12]郭金栋,朱云辉.基于CRITIC法与可变模糊集的煤与瓦斯突出预测[J].华北科技学院学报,2016,13(4):6-10. GUO Jin-dong,ZHU Yun-hui.Prediction of coal and gas outburst based on CRITIC method and variable sets[J].Journal of North China Institute of Science and Technology,2016,13(4):6-10.
[13]ZHANG Dan,WANG Guo-li,ZHOU Hui-cheng.Assessment on agricultural drought risk based on variable fuzzy sets model[J].Chinese Geographical Science,2011,21(2):167-175.
[14]汪培庄.模糊集与随机集落影[M].北京:北京师范大学出版社,1985. WANG Pei-zhuang.Fuzzy sets and random colony shadow[M].Beijing:Beijing Normal University Press,1985.
[15]Diakoulaki D,Mavrotas G,Papayannakis L.Determining objective weights in multiple crireria problems:the CRITIC method[J].Computers and Operations Research,1995,22(7):763-770.
[16]陈守煜.模糊最优归类理论模型及其在围岩稳定性分类与场地土类别评定中的应用[J].水利学报,1993(12):26-36. CHEN Shou-yu.Fuzzy optimal model and its applications to stability classification of surrounding rocks as well as site classification[J].Journal of Hydraulic Engineering,1993(12):26-36.
[17]王望珍,陈翼飞,李素芹,等.基于博弈论和相对熵的基坑支护方案优选[J].数学的实践与认识,2015,45(6):165-171. WANG Wang-zhen,CHEN Yi-fei,LI Su-qin,et al.Optimization of supporting schemes for foundation pit based on game theory and relative entropy evaluation method[J].Mathematics in Practice and Theory,2015,45(6):165-171.
[18]郭金栋.煤与瓦斯突出危险性多源信息融合及预测预报技术研究[D].徐州:中国矿业大学,2011. GUO Jin-dong.Study on multi-source information fusion and prediction technology of coal and gas outburst[D].Xuzhou:China University of Mining and Technology,2011.
[19]CHEN Suo-zhong,WANG Xiao-jing,ZHAO Xiu-jun.An attribute recognition model based on entropy weight for evaluating the quality of groundwater sources[J].Journal of China University of Mining and Technology,2008,18(1):72-75.
[20]贾义鹏,吕 庆,尚岳全,等.基于粗糙集-理想点法的岩爆预测[J].浙江大学学报:工学版,2014,48(3):498-503. JIA Yi-peng,LV Qing,SHANG Yue-quan,et al.Rockburst prediction based on rough set and ideal point method[J].Journal of Zhejiang University:Engineering Science,2014,48(3):498-503.

相似文献/References:

[1]王 鹏,陈 通,司俊鸿,等.冲击地压声-能信息时空分布特征及预测分析[J].西安科技大学学报,2016,(05):669.[doi:10.13800/j.cnki.xakjdxxb.2016.0510]
 WANG Peng,CHEN Tong,SI Jun-hong,et al.Prediction analysis on the spatio-temporal distribution feature of acoustic-energy information of rockburst[J].Journal of Xi'an University of Science and Technology,2016,(03):669.[doi:10.13800/j.cnki.xakjdxxb.2016.0510]
[2]李新华,王洪民,蓝 航.神新公司冲击地压防治研究与实践[J].西安科技大学学报,2015,(02):181.[doi:10.13800/j.cnki.xakjdxxb.2015.0208]
 LI Xin-hua,WANG Hong-min,LAN Hang.Rockburst prevention and practice for Shenxin company[J].Journal of Xi'an University of Science and Technology,2015,(03):181.[doi:10.13800/j.cnki.xakjdxxb.2015.0208]
[3]秦忠诚,陈光波,秦琼杰.组合方式对煤岩组合体力学特性和冲击倾向性影响实验研究[J].西安科技大学学报,2017,(05):655.[doi:10.13800/j.cnki.xakjdxxb.2017.0509]
 QIN Zhong-cheng,CHEN Guang-bo,QIN Qiong-jie.Effects of combination mode on mechanical properties and rock burst tendency of the coal-rock combinations[J].Journal of Xi'an University of Science and Technology,2017,(03):655.[doi:10.13800/j.cnki.xakjdxxb.2017.0509]
[4]李金奎,熊振华,刘东生,等.钻孔卸压防治巷道冲击地压的数值模拟[J].西安科技大学学报,2009,(04):424.[doi:10.13800/j.cnki.xakjdxxb.2009.04.010]

备注/Memo

备注/Memo:
基金项目:淮南职业技术学院科技基金(HKJ15-1); 安徽省教育厅高等学校省级质量工程项目(2015msgzs168) 通讯作者:郭金栋(1975-),男,山西原平人,硕士,讲师,E-mail:gotofox@126.com
更新日期/Last Update: 1900-01-01