露天采矿爆破振动对民房破坏的旋转森林预测模型
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摘要
针对爆破振动对民房破坏问题,应用因子分析及旋转森林理论,选取爆破振动幅值、主频率、主频率持续时间、灰缝强度、砖墙面积率、房屋高度、屋盖形式、圈梁构造柱、施工质量、场地条件为影响因素。建立基于因子分析的露天采矿爆破振动对民房破坏的旋转森林预测模型。利用现场实测32组爆破数据作为学习样本进行训练。采用回代估计方法进行检验,误判率为1/32。用另外12组爆破试验数据作为测试样本进行预测。结果表明,就爆破振动对民房破坏而言,灰缝强度、房屋高度、屋盖形式、圈梁构造柱及施工质量与其相关程度较高。用模型所得预测结果的误判率为1/6。
For the sake of studying the residential house's damage against blasting vibration,ten indexes,i.e.,blasting vibration amplitude,dominant frequency,dominant frequency duration,mortar seam intensity,the rate of brick walls,height of housing,roof form,the structural column of ring girth,the quality of construction and site conditions,were taken as analysis variables of the problem,based on the principles of factor analysis and rotation forest theory.A model based on the principles of factor analysis,was built for prediction of residential house's damage against blasting vibration of open pit mining.Training was carried out using 32 sets of measured blasting data as learning sample.The model was verified,the false rate was 1/32.Another 12 sets of measured data were tested as forecast samples.The results show that five indexes,i.e.,mortar seam intensity,height of housing,roof form,the structural column of ring girth,the quality of construction and site conditions,correlate significantly with the damage,and that the false rate was 1/6.
For the sake of studying the residential house's damage against blasting vibration,ten indexes,i.e.,blasting vibration amplitude,dominant frequency,dominant frequency duration,mortar seam intensity,the rate of brick walls,height of housing,roof form,the structural column of ring girth,the quality of construction and site conditions,were taken as analysis variables of the problem,based on the principles of factor analysis and rotation forest theory.A model based on the principles of factor analysis,was built for prediction of residential house's damage against blasting vibration of open pit mining.Training was carried out using 32 sets of measured blasting data as learning sample.The model was verified,the false rate was 1/32.Another 12 sets of measured data were tested as forecast samples.The results show that five indexes,i.e.,mortar seam intensity,height of housing,roof form,the structural column of ring girth,the quality of construction and site conditions,correlate significantly with the damage,and that the false rate was 1/6.
引文
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[11]邵良杉,白媛,邱云飞,等.露天采矿爆破振动对民房破坏的LS-SVM预测模型[J].煤炭学报,2012,37(10):1637-1642.SHAO Liang-shan,BAI Yuan,QIU Yun-fei,et al.LS-SVM analysis model and its application to predicting residential house's damage against blasting vibration from open pit mining[J].Journal of China Coal Society,2012,37(10):16371642.
[12]史秀志,林大能,陈寿如.基于粗糙集模糊神经网络的爆破振动危害预测[J].爆炸与冲击,2009,29(4):401-407.SHI Xiu-zhi,LIN Da-neng,CHEN Shou-ru.Blasting vibration induced damage prediction by rough set-based fuzzy neural network[J].Explosion and Shock Waves,2009,29(4):401407.
[13]马庆国.管理统计[M].北京:科学出版社,2008:308-335.MA Qing-guo.Statistics for Managers[M].Beijing:Science Press,2008:308335.
[14]王玉宝,单仁亮,蔡炜凌,等.西山矿区煤巷掘进速度影响因素因子分析[J].煤炭学报,2011,36(6):925-929.WANG Yu-bao,SHAN Ren-liang,CAI Wei-ling,et al.Factor analysis on factors influencing driving speed of coal roadway in Xishan mining area[J].Journal of China Coal Society,2011,36(6):925929.
[15]李忠卫,王立杰,周大鹏.基于因子分析法的煤炭上市公司绩效评价[J].中国矿业,2008,17(2):10-13.LI Zhong-wei,WANG Li-jie,ZHOU Da-peng.Perfomance evalutuion of coal mine listed company based on factor analysis[J].China Mining Magazine,2008,17(2):1013.
[16]刘敏,谢伙生.一种基于旋转森林的集成协同训练算法[J].计算机工程与应用,2011,47(30):172-175.LIU Min,XIE Huo-sheng.Ensemble co-training algorithm based on rotation forest[J].Computer Engineering and Applica-tions,2011,47(30):172175.
[17]陈金瓯,柳青.DNA微阵列数据判别的旋转森林方法[J].中国卫生统计,2012,29(4):525-534.CHEN Jin-ou,LIU Qing.The application of rotation forest for the classification of DNA microarray data[J].Chinese Journal of Health Statistics,2012,29(4):525534.
[18]宫凤强,刘科伟,李志国.矿区采空塌陷危险性预测的Bayes判别分析法[J].采矿与安全工程学报,2010,27(1):3039.GONG Feng-qiang,LIU Ke-wei,LI Zhi-guo.The bayes discriminant method for forcasting the stability of underground goaf[J].Journal of Mining&Safety Engineering,2010,27(1):3039.
[2]田运生,田会礼,于亚伦,等.爆破地震波作用下民房破坏分析和破坏特征[J].爆破,2005,22(1):96-98.TIAN Yun-sheng,TIAN Hui-li,YU Ya-lun,et al.Damage characteristics and damage analysis of residential house caused by blasting vibration wave[J].Blasting,2005,22(1):9698.
[3]史秀志.爆破振动信号时频分析与爆破振动特征参量和危害预测研究[D].长沙:中南大学,2007:25-60.SHI Xiu-zhi.Study of Time and Frequency Analysis of Blasting Vibration Signal and the Prediction of Blasting Vibration Characteristic Parameters and Damage[D].Changsha:Central South University,2007:2560.
[4]中国生,徐国元,熊正明.基于小波变换的爆破地震信号能量分析法的应用研究[J].爆炸与冲击,2006,26(3):222227.ZHONG Guo-sheng,XU Guo-yuan,XIONG Zheng-ming.Application research of the energy analysis method for blasting seismic signals based on wavelet transform[J].Explosion and Shock Waves,2006,26(3):222227.
[5]史秀志,薛剑光,陈寿如.爆破振动信号双线性变换的二次型时频分析[J].振动与冲击,2008,27(12):131-134.SHI Xiu-zhi,XUE Jian-guang,CHEN Shou-ru.Quadratic time-frequency distribution analysis of blasting vibration signal based on bilinear thansformation[J].Journal of Vibration and Shock,2008,27(12):131134.
[6]Khandelwal M,Singh T N.Evaluation of blast-induced ground vibration predictors[J].Soil Dynamics and Earthquake Engineering,2007,27(2):116125.
[7]Siskind D E,Stagg M S,Kopp J W,et al.Structure Response and Damage Produced by Ground Vibration from Surface Mine Blasting[R].USBM Report of Investigation8507,1980:7374.
[8]GB6722—2003.爆破安全规程[S].GB67222003.Blasting Safety Procedures[S].
[9]史秀志,周健,崔松,等.露天采矿爆破振动对民房危害预测的DDA模型及应用[J].中南大学学报:自然科学版,2011,42(2):441448.SHI Xiu-zhi,ZHOU Jian,CUI Song,et al.Distance discriminant analysis model and its application to predicting residential house's damage against blasting vibration of open pit mining[J].Journal of Central South University:Natural Science,2011,42(2):441448.
[10]董陇军,李夕兵,赵国彦,等.露天采矿爆破振动对砌体结构破坏效应预测的Fisher判别模型及应用[J].岩土力学与工程学报,2009,28(4):750-756.DONG Long-jun,LI Xi-bing,ZHAO Guo-yan,et al.Fisher discriminant analysis model and its application to predicting destructive effect of masonry structure under blasting vibration of open-pit mine[J].Chinese Journal of Rock Mechanics and Engineering,2009,28(4):750756.
[11]邵良杉,白媛,邱云飞,等.露天采矿爆破振动对民房破坏的LS-SVM预测模型[J].煤炭学报,2012,37(10):1637-1642.SHAO Liang-shan,BAI Yuan,QIU Yun-fei,et al.LS-SVM analysis model and its application to predicting residential house's damage against blasting vibration from open pit mining[J].Journal of China Coal Society,2012,37(10):16371642.
[12]史秀志,林大能,陈寿如.基于粗糙集模糊神经网络的爆破振动危害预测[J].爆炸与冲击,2009,29(4):401-407.SHI Xiu-zhi,LIN Da-neng,CHEN Shou-ru.Blasting vibration induced damage prediction by rough set-based fuzzy neural network[J].Explosion and Shock Waves,2009,29(4):401407.
[13]马庆国.管理统计[M].北京:科学出版社,2008:308-335.MA Qing-guo.Statistics for Managers[M].Beijing:Science Press,2008:308335.
[14]王玉宝,单仁亮,蔡炜凌,等.西山矿区煤巷掘进速度影响因素因子分析[J].煤炭学报,2011,36(6):925-929.WANG Yu-bao,SHAN Ren-liang,CAI Wei-ling,et al.Factor analysis on factors influencing driving speed of coal roadway in Xishan mining area[J].Journal of China Coal Society,2011,36(6):925929.
[15]李忠卫,王立杰,周大鹏.基于因子分析法的煤炭上市公司绩效评价[J].中国矿业,2008,17(2):10-13.LI Zhong-wei,WANG Li-jie,ZHOU Da-peng.Perfomance evalutuion of coal mine listed company based on factor analysis[J].China Mining Magazine,2008,17(2):1013.
[16]刘敏,谢伙生.一种基于旋转森林的集成协同训练算法[J].计算机工程与应用,2011,47(30):172-175.LIU Min,XIE Huo-sheng.Ensemble co-training algorithm based on rotation forest[J].Computer Engineering and Applica-tions,2011,47(30):172175.
[17]陈金瓯,柳青.DNA微阵列数据判别的旋转森林方法[J].中国卫生统计,2012,29(4):525-534.CHEN Jin-ou,LIU Qing.The application of rotation forest for the classification of DNA microarray data[J].Chinese Journal of Health Statistics,2012,29(4):525534.
[18]宫凤强,刘科伟,李志国.矿区采空塌陷危险性预测的Bayes判别分析法[J].采矿与安全工程学报,2010,27(1):3039.GONG Feng-qiang,LIU Ke-wei,LI Zhi-guo.The bayes discriminant method for forcasting the stability of underground goaf[J].Journal of Mining&Safety Engineering,2010,27(1):3039.
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