基于RES-云模型的采空区稳定性评价研究
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摘要
针对采空区稳定性评价中评价指标间交互作用机制分析不足的问题,提出了基于RES(Rock Engineering System)-云模型的采空区稳定性二维评价方法。选取了15个采空区稳定性评价指标,基于RES理论,通过建立评价指标交互作用矩阵,分析评价指标间的相互作用,确定了各个评价指标的权重;应用云模型理论计算隶属于不同等级的各指标云模型参数,以指标等级云图的方式进行直观表现,计算样本综合等级隶属度;根据最大综合隶属度原则确定采空区的稳定性等级,引入模糊熵作为第二维评判参量,表征采空区稳定性的复杂程度。最后,将该模型应用于云南某锡矿8个采空区稳定性评价中,验证了该评价模型的可行性。
Aiming at solving the problem of insufficient analysis of interaction mechanism between indicators in the stability evaluation for goaf,a two-dimensional goaf stability evaluation method is proposed based on the RES( Rock Engineering System)-Cloud Model. In this paper,15 stability evaluation indicators for goaf are selected.Then the weight of each evaluation indicator is determined by the establishment of interactive matrix of evaluation indicators and the analysis of the interaction between evaluation indicators on the basis of the RES theory. The cloud model parameters for each indicator belonging to different levels are calculated by applying Cloud Model Theory and performed intuitively with index-level cloud diagrams to calculate comprehensive membership degree of levels. According to the principle of maximum comprehensive membership degree,the stability level of goaf is determined,and fuzzy entropy is introduced as the second dimension assessment parameter to characterize the complexity of the stability of goaf. At last,this model is applied to the stability evaluation for 8 goafs in a tin mine in Yunnan,and the feasibility of the evaluation model is verified.
Aiming at solving the problem of insufficient analysis of interaction mechanism between indicators in the stability evaluation for goaf,a two-dimensional goaf stability evaluation method is proposed based on the RES( Rock Engineering System)-Cloud Model. In this paper,15 stability evaluation indicators for goaf are selected.Then the weight of each evaluation indicator is determined by the establishment of interactive matrix of evaluation indicators and the analysis of the interaction between evaluation indicators on the basis of the RES theory. The cloud model parameters for each indicator belonging to different levels are calculated by applying Cloud Model Theory and performed intuitively with index-level cloud diagrams to calculate comprehensive membership degree of levels. According to the principle of maximum comprehensive membership degree,the stability level of goaf is determined,and fuzzy entropy is introduced as the second dimension assessment parameter to characterize the complexity of the stability of goaf. At last,this model is applied to the stability evaluation for 8 goafs in a tin mine in Yunnan,and the feasibility of the evaluation model is verified.
引文
[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.
[2]王新民,柯愈贤,鄢德波,等.基于熵权法和物元分析的采空区危险性评价研究[J].中国安全科学学报,2012,22(6):71-78.
[3]吴启红,万世明,彭文祥.一种多层采空区群稳定性的综合评价法[J].中南大学学报(自然科学版),2012,43(6):2324-2330.
[4] ZHOU Jian,LI Xibing,Mitri S,et al. Identification of largescale goaf instability in underground mine using particle swarm optimization and support vector machine[J]. International journal of mining science and technology,2013,23(5):701-707.
[5] HU Jianhua,SHANG Junlong,ZHOU Keping,et al. Hazard degree identification of goafs based on scale effect of structure by RS-TOPSIS method[J]. Journal of Central South University,2015,22(2):684-692.
[6]李德毅,孟海军,史雪梅.隶属云和隶属云发生器[J].计算机研究与发展,1995,32(6):16-21.
[7]刘涛.基于AHP-Fuzzy法的采空区危险性评价[J].有色金属(矿山部分),2016(5):49-52.
[8]科平,田勇刚.基于因子交互作用矩阵的采空区危险度评价研究[J].中国安全生产科学技术,2016,12(10):107-112.
[9]汪朝,郭进平,王李管.采空区危险性的支持向量机识别[J].重庆大学学报,2015,38(4):85-90,127.
[10]冯岩,王新民,程爱宝,等.采空区危险性评价方法优化[J].中南大学学报(自然科学版),2013,44(7):2881-2888.
[11]杜坤,李夕兵,刘科伟,等.采空区危险性评价的综合方法及工程应用[J].中南大学学报(自然科学版),2011,42(9):2802-2811.
[12] HUDSON J. Rock engineering systems. Theory and Practice[M]. Ellis Horwood Limited Publisher,1992.
[13] LIU Zaobao,SHAO Jianfu,XU Weiya. Comprehensive stability evaluation of rock slope using the cloud model-based approach[J]. Rock Mechanics and Rock Engineering,2014,47(6):2239-2252.
[14]魏博文,黄海鹏,徐镇凯.基于云模型和组合赋权的岩体质量二维评价模型[J].岩石力学与工程学报,2016,35(S1):3092-3099.
[15]丁世飞,朱红,许新征,等.基于熵的模糊信息测度研究[J].计算机学报,2012,35(4):796-801.
[16]李晓超,钟登华,任炳昱,等.基于模糊RES-云模型的坝基岩体可灌性评价研究[J].水利学报,2017,48(11):1311-1323.
[2]王新民,柯愈贤,鄢德波,等.基于熵权法和物元分析的采空区危险性评价研究[J].中国安全科学学报,2012,22(6):71-78.
[3]吴启红,万世明,彭文祥.一种多层采空区群稳定性的综合评价法[J].中南大学学报(自然科学版),2012,43(6):2324-2330.
[4] ZHOU Jian,LI Xibing,Mitri S,et al. Identification of largescale goaf instability in underground mine using particle swarm optimization and support vector machine[J]. International journal of mining science and technology,2013,23(5):701-707.
[5] HU Jianhua,SHANG Junlong,ZHOU Keping,et al. Hazard degree identification of goafs based on scale effect of structure by RS-TOPSIS method[J]. Journal of Central South University,2015,22(2):684-692.
[6]李德毅,孟海军,史雪梅.隶属云和隶属云发生器[J].计算机研究与发展,1995,32(6):16-21.
[7]刘涛.基于AHP-Fuzzy法的采空区危险性评价[J].有色金属(矿山部分),2016(5):49-52.
[8]科平,田勇刚.基于因子交互作用矩阵的采空区危险度评价研究[J].中国安全生产科学技术,2016,12(10):107-112.
[9]汪朝,郭进平,王李管.采空区危险性的支持向量机识别[J].重庆大学学报,2015,38(4):85-90,127.
[10]冯岩,王新民,程爱宝,等.采空区危险性评价方法优化[J].中南大学学报(自然科学版),2013,44(7):2881-2888.
[11]杜坤,李夕兵,刘科伟,等.采空区危险性评价的综合方法及工程应用[J].中南大学学报(自然科学版),2011,42(9):2802-2811.
[12] HUDSON J. Rock engineering systems. Theory and Practice[M]. Ellis Horwood Limited Publisher,1992.
[13] LIU Zaobao,SHAO Jianfu,XU Weiya. Comprehensive stability evaluation of rock slope using the cloud model-based approach[J]. Rock Mechanics and Rock Engineering,2014,47(6):2239-2252.
[14]魏博文,黄海鹏,徐镇凯.基于云模型和组合赋权的岩体质量二维评价模型[J].岩石力学与工程学报,2016,35(S1):3092-3099.
[15]丁世飞,朱红,许新征,等.基于熵的模糊信息测度研究[J].计算机学报,2012,35(4):796-801.
[16]李晓超,钟登华,任炳昱,等.基于模糊RES-云模型的坝基岩体可灌性评价研究[J].水利学报,2017,48(11):1311-1323.
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