基于未确知均值方法的巷道围岩分级及应用
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摘要
将未确知测度理论应用到巷道围岩分级中,提出了未确知均值分级方法,建立巷道围岩分级的未确知均值分级模型;选用岩石容重、岩石抗拉强度、岩石完整性系数作为分级模型的判定指标;以14种岩石的实测数据建立分类判别指标的未确知测度函数,并求得各分级样本指标的平均值和单指标测度矩阵;根据信息熵理论确定各指标的权重,利用置信度识别准则对岩石进行判定分级。利用该模型对矿区巷道围岩进行了分类预测,与实测结果比较,预测结果与实测结果吻合,为巷道围岩分级提供了一条新的途径。
Unascertained measurement theory was applied in tunnel surrounding rock classification,unascertained average clustering method was raised and unascertained average clustering model of tunnel surrounding rock classification was set up.Unit weight,tensile strength,sound degree coefficient of rock was selected as the evaluating parameters of classification model.Using 14 kinds of measured data of rock to build the unascertained measurement function of classification of judging indexes,average value of each classification sample index and single index measure matrix were obtained;weight of each index confirmed according to the information entropy theory,determine classification of rock was done by using credible degree recognition criterion.Classification forecasting was done on tunnel surrounding rock of mining area by using this model.Prediction results are closely with measured results after comparison,and it offers a new way for tunnel surrounding rock classification.
Unascertained measurement theory was applied in tunnel surrounding rock classification,unascertained average clustering method was raised and unascertained average clustering model of tunnel surrounding rock classification was set up.Unit weight,tensile strength,sound degree coefficient of rock was selected as the evaluating parameters of classification model.Using 14 kinds of measured data of rock to build the unascertained measurement function of classification of judging indexes,average value of each classification sample index and single index measure matrix were obtained;weight of each index confirmed according to the information entropy theory,determine classification of rock was done by using credible degree recognition criterion.Classification forecasting was done on tunnel surrounding rock of mining area by using this model.Prediction results are closely with measured results after comparison,and it offers a new way for tunnel surrounding rock classification.
引文
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[2]于德海,彭建兵.地下工程围岩分类的神经网络可视化评价[J].中国地质灾害与防治学报,2005,16(4):116-123.
[3]刘开第,吴和琴,庞彦军,等.不确定信息数学处理机应用[M].北京:科学出版社,1999.
[4]刘开第,吴和琴,王念鹏,等.未确知数学[M].武汉:华中理工大学出版社,1997.
[5]刘开第,庞彦军,孙光勇,等.城市环境质量的未确知测度评价[J].系统工程理论与实践,1999,19(12):52-58.
[6]万玉成.未确知在预测与决策问题中的应用[D].南京:东南大学经济管理学院,2004:22-27.
[7]董陇军,李夕兵,宫风强.开采地面沉陷预测的未确知聚类预测模型[J].中国地质灾害与防治学报,2008,19(2):95-99.
[8]董陇军,王飞跃.基于未确知测度的边坡地震稳定性综合评价[J].中国地质灾害与防治学报,2007,18(4):74-78.
[9]曹庆奎,刘开展,张博文.用熵计算客观型指标权重的方法[J].河北建筑科技学院学报,2000,17(3):40-42.
[10]宫风强,李夕兵,董陇军.基于未确知测度理论的采空区危险评价研究[J].岩石力学与工程学报,2008,27(2):323-330.
[11]璩世杰,辛明印,毛市龙,等.岩体可爆性指标的相关性分析[J].岩石力学与工程学报,2005,24(3):468-474.
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