隧道瓦斯突出危险性评价的属性识别模型与实例
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摘要
基于属性数学理论建立隧道瓦斯突出预测与危险性分级的属性识别模型,以弥补现有隧道勘测设计阶段瓦斯突出评价方法的不足。首先确定隧道瓦斯突出预测的评价指标与危险性分级标准,然后进行评价指标的属性测度分析,通过构造属性测度函数以计算单指标属性测度和样本综合属性测度,最后应用置信度准则对隧道样本的瓦斯突出进行属性识别,从而建立隧道勘测设计阶段瓦斯突出评价的属性识别模型。在工程实例分析研究中,通过属性测度分析和计算,得到了隧道瓦斯突出的预测结果,评价结果与物元可拓评判法以及D、K值法的评价结果有较好的一致性。由于属性数学理论能很好地解决具有多个模糊属性问题的综合评价,且置信度准则是根据评价集具有有序性这一特点而提出的,因而可使评价结果更为可靠。
In order to improve the present methods of quantitatively assessment of gas burst during tunnel construction,attribute recognition model based on attribute mathematical theory was developed for assessment of gas burst in tunnel at the prospecting stage.Firstly,based on the analysis of main causes of gas burst in tunnel,seven parameters were chosen as the criterion indices for identification and classification of fatalness assessment of gas burst in tunnel;secondly,attribute measurement functions were rigorously constructed to compute attribute measurement of single index and synthetic attribute measurement;lastly,the identification and classification of fatalness assessment of gas tunnel samples were recognized by the confidence criterion,then attribute recognition model was proposed for comprehensive assessment of gas burst fatalness assessment of gas tunnel.An exemplification study shows that the synthetic assessment results obtained through attribute measurement analysis agree well with the results obtained by the extension assessment method and D,K method.As attribute mathematical theory can successfully resolve certain issues with a number of fuzzy attributes in comprehensive evaluation,and its confidence criterion is established on the basis of the ordered evaluation sets,consequently,it will enable the evaluation results be more reliable.
In order to improve the present methods of quantitatively assessment of gas burst during tunnel construction,attribute recognition model based on attribute mathematical theory was developed for assessment of gas burst in tunnel at the prospecting stage.Firstly,based on the analysis of main causes of gas burst in tunnel,seven parameters were chosen as the criterion indices for identification and classification of fatalness assessment of gas burst in tunnel;secondly,attribute measurement functions were rigorously constructed to compute attribute measurement of single index and synthetic attribute measurement;lastly,the identification and classification of fatalness assessment of gas tunnel samples were recognized by the confidence criterion,then attribute recognition model was proposed for comprehensive assessment of gas burst fatalness assessment of gas tunnel.An exemplification study shows that the synthetic assessment results obtained through attribute measurement analysis agree well with the results obtained by the extension assessment method and D,K method.As attribute mathematical theory can successfully resolve certain issues with a number of fuzzy attributes in comprehensive evaluation,and its confidence criterion is established on the basis of the ordered evaluation sets,consequently,it will enable the evaluation results be more reliable.
引文
[1]王梦恕.中国是世界上隧道和地下工程最多、最复杂、今后发展最快的国家[J].铁道标准设计,2003(1):1-4.Wang Mengshu.China has the largest amount of tunnels and under-ground works in the world with most complicated geological condi-tions,and has a foreseeable quickest development in the future[J].Railway Standard Design,2003(1):1-4.
[2]曹庆奎,任向阳,刘开第.矿井工作面瓦斯涌出量的未确知聚类研究[J].煤炭学报,2006,31(3):337-341.Cao Qingkui,Ren Xiangyang,Liu Kaidi.Research on unascertainedclusters on the gas emission of the working face[J].Journal of ChinaCoal Society,2006,31(3):337-341.
[3]曹树刚,王艳平,刘延保,等.基于危险源理论的煤矿瓦斯爆炸风险评价模型[J].煤炭学报,2006,31(4):470-474.Cao Shugang,Wang Yanping,Liu Yanbao,et al.Risk assessmentmodel of gas explosion in coal mine based on the hazard theory[J].Journal of China Coal Society,2006,31(4):470-474.
[4]赵朝义,袁修干,孙金镖.遗传规划在采煤工作面瓦斯涌出量预测中的应用[J].应用基础与工程科学学报,1999,7(4):387-392.Zhao Chaoyi,Yuan Xiugan,Sun Jinbiao.Application of genetic pro-gramming to predicting the amount of gas emitted from coal face[J].Journal of Basic Science and Engineering,1999,7(4):387-392.
[5]李曲,蔡之华,朱莉,等.基因表达式程序设计方法在采煤工作面瓦斯涌出量预测中的应用[J].应用基础与工程科学学报,2004,12(1):49-54.Li Qu,Cai Zhihua,Zhu Li,et al.Application of gene expression pro-gramming in predicting the amount of gas emitted from coal face[J].Journal of Basic Science and Engineering,2004,12(1):49-54.
[6]朱川曲.采煤工作面瓦斯涌出量预测的神经网络模型[J].中国安全科学学报,1999,9(2):42-45.Zhu Chuanqu.Neural network model for predicting the amount of gasemitted from coal face[J].China Safety Science Journal,1999,9(2):42-45.
[7]张许良,单菊萍,彭苏萍.瓦斯含量及涌出量预测的数学地质技术与方法[J].煤炭学报,2009,34(3):350-354.Zhang Xuliang,Shan Juping,Peng Suping.Mathematical geologytechnique and method for prediction of gas content and emission[J].Journal of China Coal Society,2009,34(3):350-354.
[8]姜德义,刘春,张广洋,等.公路隧道全断面揭煤防突技术[J].岩土力学,2005,26(6):906-909.Jiang Deyi,Liu Chun,Zhang Guangyang,et al.Technologies ofwhole cutting through coal seam and preventing collapse in highwaytunnels[J].Rock and Soil Mechanics,2005,26(6):906-909.
[9]吴应明.华蓥山隧道有害气体监测与综合治理技术[J].现代隧道技术,2003,40(4):68-73.Wu Yingming.Monitoring and comprehensive countermeasures forharmful gases in Huayingshan tunnel[J].Modern Tunnelling Tech-nology,2003,40(4):68-73.
[10]袁森林,刘旭,周建中.瓦斯隧道工程勘查技术探讨[J].四川地质学报,2009,29(1):50-51.Yuan Senlin,Liu Xu,Zhou Jianzhong.Discussion about engineeringreconnaissance techniques for gas tunnel[J].Acta Geologica Si-chuan,2009,29(1):50-51.
[11]聂百胜,何学秋,王恩元,等.煤与瓦斯突出预测技术研究现状及发展趋势[J].中国安全科学学报,2003,13(6):40-43.Nie Baisheng,He Xueqiu,Wang Enyuan,et al.Present situationand progress trend of prediction technology of coal and gas outburst[J].China Safety Science Journal,2003,13(6):40-43.
[12]TB 10120—2002,铁路瓦斯隧道技术规范[S].TB 10120—2002,Technical code for railway tunnel with gas[S].
[13]彭立敏,安永林,张运良,等.可拓法识别勘测阶段隧道瓦斯突出的模型与实例[J].土木工程学报,2008,41(4):81-85.Peng Limin,An Yonglin,Zhang Yunliang,et al.Identification of gasburst in tunnel at the prospecting stage by using extension theory:acase study[J].China Civil Engineering Journal,2008,41(4):81-85.
[14]袁真秀,张羽军,王崇良.新寨隧道煤与瓦斯突出危险性评价及揭煤施工设计[J].四川工业学院学报,2003,22(3):88-91.Yuan Zhenxiu,Zhang Yujun,Wang Chongliang.Evaluation of fatal-ness of coal and gas outburst and detailed design of cutting throughcoal seam in Xinzhai tunnel[J].Journal of Sichuan University ofScience and Technology,2003,22(3):88-91.
[15]谢晓东,李之利.勘察阶段深埋长大隧中道煤层瓦斯涌出与突出的预测研究[J].河北建筑科技学院学报,2000,17(3):15-17.Xie Xiaodong,Li Zhili.The forecasting study on coal gas emergenceand burst in deep,long and wide tunnel at prospecting stage[J].Journal of Hebei Institute of Architectural Science and Technology,2000,17(3):15-17.
[16]程乾生.属性识别理论模型及其应用[J].北京大学学报(自然科学版),1997,33(1):12-20.Cheng Qiansheng.Attribute recognition theoretical model with ap-plication[J].Universitatis Pekinnensis,Acta Scientianrum Natural-ium,1997,33(1):12-20.
[17]程乾生.属性集和属性综合评价系统[J].系统工程理论与实践,1997,17(9):1-8.Cheng Qiansheng.Attribute sets and attribute synthetic assessmentsystem[J].Systems Engineering-Theory&Practice,1997,17(9):1-8.
[18]程乾生.质量评价的属性数学模型和模糊数学模型[J].数理统计与管理,1997,16(6):18-23.Cheng Qiansheng.Attribute mathematical model and fuzzy mathe-matical model for quality assessment[J].Application of Statisticsand Management,1997,16(6):18-23.
[19]程乾生.属性数学—属性测度和属性统计[J].数学的实践与认识,1998,28(2):97-107.Cheng Qiansheng.Attribute mathematics-Attribute measurementand attribute statistics[J].Mathematics in Practice and Theory,1998,28(2):97-107.
[20]张强,刘克,高自友.属性综合评价系统在城市交通规划中的应用[J].系统工程理论与实践,2002,22(6):113-120.Zhang Qiang,Liu Ke,Gao Ziyou.An application of attribute syn-thetic evaluation system in urban traffic planning[J].Systems En-gineering-Theory&Practice,2002,22(6):113-120.
[21]文畅平,杨果林.基于属性数学理论的岩土边坡地震稳定性评价[J].中国铁道科学,2010,31(5):8-14.Wen Changping,Yang Guolin.The seismic stability evaluation ofthe rock and soil slope based on the attribute mathematical theory[J].China Railway Science,2010,31(5):8-14.
[2]曹庆奎,任向阳,刘开第.矿井工作面瓦斯涌出量的未确知聚类研究[J].煤炭学报,2006,31(3):337-341.Cao Qingkui,Ren Xiangyang,Liu Kaidi.Research on unascertainedclusters on the gas emission of the working face[J].Journal of ChinaCoal Society,2006,31(3):337-341.
[3]曹树刚,王艳平,刘延保,等.基于危险源理论的煤矿瓦斯爆炸风险评价模型[J].煤炭学报,2006,31(4):470-474.Cao Shugang,Wang Yanping,Liu Yanbao,et al.Risk assessmentmodel of gas explosion in coal mine based on the hazard theory[J].Journal of China Coal Society,2006,31(4):470-474.
[4]赵朝义,袁修干,孙金镖.遗传规划在采煤工作面瓦斯涌出量预测中的应用[J].应用基础与工程科学学报,1999,7(4):387-392.Zhao Chaoyi,Yuan Xiugan,Sun Jinbiao.Application of genetic pro-gramming to predicting the amount of gas emitted from coal face[J].Journal of Basic Science and Engineering,1999,7(4):387-392.
[5]李曲,蔡之华,朱莉,等.基因表达式程序设计方法在采煤工作面瓦斯涌出量预测中的应用[J].应用基础与工程科学学报,2004,12(1):49-54.Li Qu,Cai Zhihua,Zhu Li,et al.Application of gene expression pro-gramming in predicting the amount of gas emitted from coal face[J].Journal of Basic Science and Engineering,2004,12(1):49-54.
[6]朱川曲.采煤工作面瓦斯涌出量预测的神经网络模型[J].中国安全科学学报,1999,9(2):42-45.Zhu Chuanqu.Neural network model for predicting the amount of gasemitted from coal face[J].China Safety Science Journal,1999,9(2):42-45.
[7]张许良,单菊萍,彭苏萍.瓦斯含量及涌出量预测的数学地质技术与方法[J].煤炭学报,2009,34(3):350-354.Zhang Xuliang,Shan Juping,Peng Suping.Mathematical geologytechnique and method for prediction of gas content and emission[J].Journal of China Coal Society,2009,34(3):350-354.
[8]姜德义,刘春,张广洋,等.公路隧道全断面揭煤防突技术[J].岩土力学,2005,26(6):906-909.Jiang Deyi,Liu Chun,Zhang Guangyang,et al.Technologies ofwhole cutting through coal seam and preventing collapse in highwaytunnels[J].Rock and Soil Mechanics,2005,26(6):906-909.
[9]吴应明.华蓥山隧道有害气体监测与综合治理技术[J].现代隧道技术,2003,40(4):68-73.Wu Yingming.Monitoring and comprehensive countermeasures forharmful gases in Huayingshan tunnel[J].Modern Tunnelling Tech-nology,2003,40(4):68-73.
[10]袁森林,刘旭,周建中.瓦斯隧道工程勘查技术探讨[J].四川地质学报,2009,29(1):50-51.Yuan Senlin,Liu Xu,Zhou Jianzhong.Discussion about engineeringreconnaissance techniques for gas tunnel[J].Acta Geologica Si-chuan,2009,29(1):50-51.
[11]聂百胜,何学秋,王恩元,等.煤与瓦斯突出预测技术研究现状及发展趋势[J].中国安全科学学报,2003,13(6):40-43.Nie Baisheng,He Xueqiu,Wang Enyuan,et al.Present situationand progress trend of prediction technology of coal and gas outburst[J].China Safety Science Journal,2003,13(6):40-43.
[12]TB 10120—2002,铁路瓦斯隧道技术规范[S].TB 10120—2002,Technical code for railway tunnel with gas[S].
[13]彭立敏,安永林,张运良,等.可拓法识别勘测阶段隧道瓦斯突出的模型与实例[J].土木工程学报,2008,41(4):81-85.Peng Limin,An Yonglin,Zhang Yunliang,et al.Identification of gasburst in tunnel at the prospecting stage by using extension theory:acase study[J].China Civil Engineering Journal,2008,41(4):81-85.
[14]袁真秀,张羽军,王崇良.新寨隧道煤与瓦斯突出危险性评价及揭煤施工设计[J].四川工业学院学报,2003,22(3):88-91.Yuan Zhenxiu,Zhang Yujun,Wang Chongliang.Evaluation of fatal-ness of coal and gas outburst and detailed design of cutting throughcoal seam in Xinzhai tunnel[J].Journal of Sichuan University ofScience and Technology,2003,22(3):88-91.
[15]谢晓东,李之利.勘察阶段深埋长大隧中道煤层瓦斯涌出与突出的预测研究[J].河北建筑科技学院学报,2000,17(3):15-17.Xie Xiaodong,Li Zhili.The forecasting study on coal gas emergenceand burst in deep,long and wide tunnel at prospecting stage[J].Journal of Hebei Institute of Architectural Science and Technology,2000,17(3):15-17.
[16]程乾生.属性识别理论模型及其应用[J].北京大学学报(自然科学版),1997,33(1):12-20.Cheng Qiansheng.Attribute recognition theoretical model with ap-plication[J].Universitatis Pekinnensis,Acta Scientianrum Natural-ium,1997,33(1):12-20.
[17]程乾生.属性集和属性综合评价系统[J].系统工程理论与实践,1997,17(9):1-8.Cheng Qiansheng.Attribute sets and attribute synthetic assessmentsystem[J].Systems Engineering-Theory&Practice,1997,17(9):1-8.
[18]程乾生.质量评价的属性数学模型和模糊数学模型[J].数理统计与管理,1997,16(6):18-23.Cheng Qiansheng.Attribute mathematical model and fuzzy mathe-matical model for quality assessment[J].Application of Statisticsand Management,1997,16(6):18-23.
[19]程乾生.属性数学—属性测度和属性统计[J].数学的实践与认识,1998,28(2):97-107.Cheng Qiansheng.Attribute mathematics-Attribute measurementand attribute statistics[J].Mathematics in Practice and Theory,1998,28(2):97-107.
[20]张强,刘克,高自友.属性综合评价系统在城市交通规划中的应用[J].系统工程理论与实践,2002,22(6):113-120.Zhang Qiang,Liu Ke,Gao Ziyou.An application of attribute syn-thetic evaluation system in urban traffic planning[J].Systems En-gineering-Theory&Practice,2002,22(6):113-120.
[21]文畅平,杨果林.基于属性数学理论的岩土边坡地震稳定性评价[J].中国铁道科学,2010,31(5):8-14.Wen Changping,Yang Guolin.The seismic stability evaluation ofthe rock and soil slope based on the attribute mathematical theory[J].China Railway Science,2010,31(5):8-14.
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