地采诱发建筑物损伤识别的SVM分析模型
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摘要
针对地采诱发建筑物损害预测中指标与建筑物损害的关系不确定性问题,综合应用相关分析法、鱼骨图理论及SVM原理构建地采诱发建筑物损害的分析模型。采用相关分析法及原因型鱼骨图模型分析指标与建筑物损害的关联度,计算各因素权重,用建筑物损害观测数据对指标加权的SVM模型进行训练和测试,测试结果良好。研究结果表明:鱼骨图模型可获得指标与建筑物损害的关系,量化输入指标的重要性;建筑物本身条件中与空区位置、建筑物状况的重要性明显高于其他指标,加大建筑物本身建设,可较好地改善建筑物抗损害能力;基于鱼骨图的SVM分析模型可以更好地考虑各指标对建筑物损害的综合影响,回估误判率较低。
In view of the uncertain relationships among indexes and buildings damage in mining-induced damage predicting,and combining with the characteristics of correlation analysis,fishbone diagram,and SVM,the analysis model for mininginduced buildings damage was established. Correlation analysis theory and fishbone diagram were used to analyze the correlations,and calculate the indexes' weights. The SVM model were trained and tested by a series of data from observations of mining-induced and damage degree of buildings,and the test results was good. The results show that the fishbone diagram can obtain the relationships between indexes and buildings' damage,and the importance of the quantified index; The building' s own conditions including its position in Gob and building conditions are more important than others obviously,and increasing the construction of building foundation can well improve the destruction resistance of buildings; SVM model based on fishbone diagram can better consider the effect of each index on damage degree induced by mining-induced,and get a lower ratio of misdiscrimination.
In view of the uncertain relationships among indexes and buildings damage in mining-induced damage predicting,and combining with the characteristics of correlation analysis,fishbone diagram,and SVM,the analysis model for mininginduced buildings damage was established. Correlation analysis theory and fishbone diagram were used to analyze the correlations,and calculate the indexes' weights. The SVM model were trained and tested by a series of data from observations of mining-induced and damage degree of buildings,and the test results was good. The results show that the fishbone diagram can obtain the relationships between indexes and buildings' damage,and the importance of the quantified index; The building' s own conditions including its position in Gob and building conditions are more important than others obviously,and increasing the construction of building foundation can well improve the destruction resistance of buildings; SVM model based on fishbone diagram can better consider the effect of each index on damage degree induced by mining-induced,and get a lower ratio of misdiscrimination.
引文
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[15]孙华丽,周战杰,薛耀锋,等.基于鱼骨图的公共安全风险测度与评价[J].中国安全科学学报,2011,21(7):138-143.Sun Huali,Zhou Zhanjie,Xue Yaofeng,et al.Risk measurement and evaluation of public safety based on fishbone diagram[J].China Safety Science Journal,2011,21(7):138-143.
[16]张展羽,陈子平,王斌,等.基于自由搜索的LS-SVM在墒情预测中的应用[J].系统工程理论与实践,2010,30(2):201-206.Zhang Zhanyu,Chen Ziping,Wang Bin,et al.Soil moisture content series prediction based on LS-SVM within free search[J].Systems Engineering-Theory&Practice,2010,30(2):201-206.
[17]许桂梅,黄圣国.应用LS-SVM的飞机重着陆诊断[J].系统工程理论与实践,2010,30(4):763-768.Xu Guimei,Huang Shengguo.Airplane's hard landing diagnosis using LS-SVM[J].Systems Engineering-Theory&Practice,2010,30(4):763-768.
[2]刘书贤,魏晓刚,张驰,等.煤矿多煤层重复采动所致地表移动与建筑损坏分析[J].中国安全科学学报,2014,24(3):59-65.Liu Shuxian,Wei Xiaogang,Zhang Chi,et al.Analysis of construction damage and surface movement caused by repeat multiple seam mining of coal mine[J].China Safety Science Journal,2014,24(3):59-65.
[3]刘振国,卞正富,吕福祥,等.时序DIn SAR在重复采动地表沉陷监测中的应用[J].采矿与安全工程学报,2013,30(3):390-395.Liu Zhenguo,Bian Zhengfu,Lu Fuxiang,et al.Subsidence monitoring caused by repeated excavation with time-series DIn SAR[J].Journal of Mining&Safety Engineering,2013,30(3):390-395.
[4]国家煤炭工业局.建筑物、水体、铁路及主要巷道保护煤柱留设与压煤开采规程[M].北京:煤炭工业出版社,2000:107-131.China Coal Industry Bureau.Mining Rules of Left Protective Coal Column for Buildings,Water,Railway and Main Tunnel[M].Beijing:China Coal Industry Publishing House,2000:107-131.
[5]魏威,李夕兵.地采诱发建筑物损害识别的多元判别分析模型[J].中南大学学报:自然科学版,2013,44(8):3336-3344.Wei Wei,Li Xibing.Identification of building damage induced by underground mining using multivariate discriminant analysis model[J].Journal of Central South University:Science and Technology,2013,44(8):3336-3344.
[6]刘影,王旭东.地下开挖对临近建筑物损害影响评估综述[J].地下空间与工程学报,2009,5(4):841-847.Liu Ying,Wang Xudong.Overview of the assessment on the damage from underground excavating on adjacent buildings[J].Chinese Journal of Underground Space and Engineering,2009,5(4):841-847.
[7]刘书贤,魏晓刚,张弛,等.煤矿采动与地震耦合作用下建筑物灾变分析[J].中国矿业大学学报,2013,42(4):526-534.Liu Shuxian,Wei Xiaogang,Zhang Chi,et al.Catastrophe analysis of buildings caused by the coupling effect of mining subsidence and earthquake[J].Journal of China University of Mining&Technology,2013,42(4):526-534.
[8]Finno R J,Voss F T,Rossow E,et al.Evaluating damage potential to buildings affected by excavations[J].Journal of Geotechnical and Geoenvironmental Engineering,2005,131(10):1199-1210.
[9]张春礼.采动与地震共同作用下建筑物的破坏过程研究[D].青岛:青岛理工大学,2009.Zhang Chunli.Damage Evolution Analysis of RC Frames Structure Induced by Mining and Earthquake[D].Qingdao:Qingdao Technological University,2009.
[10]刘松岸.采空区残余曲率变形对多层建筑受力及变形影响研究[D].秦皇岛:燕山大学,2009:40-66.Liu Songan.Study on the Force and Deformation of Multi-storey Building Impact Mined-out Area Residual Curvature Deformation[D].Qinhuangdao:Yanshan University,2009:40-66.
[11]张安兵,高井祥,张兆江.基于多尺度的老采空区上方建筑物变形分析及预报[J].岩土力学,2011,32(8):2423-2428.Zhang Anbing,Gao Jingxiang,Zhang Zhaojiang.Deformation analysis and prediction of building above old mine goaf based on multiscale method[J].Rock and Soil Mechanics,2011,32(8):2423-2428.
[12]张宏贞,邓喀中.人工神经网络在老采空区残余沉降的应用研究[J].金属矿山,2009(6):21-23.Zhang Hongzhen,Deng Kazhong.An artificial neural network model for predicting the residual subsidence of abandoned mine goaf[J].Metal Mine,2009(6):21-23.
[13]刘立民,刘汉龙,连传杰.建筑物采动损坏等级评定的物元模型及其应用[J].煤炭学报,2004,29(1):17-21.Liu Limin,Liu Hanlong,Lian Chuanjie.Matter-element model for building's damage grade evaluation and its application caused by mining subsidence[J].Journal of China Coal Society,2004,29(1):17-21.
[14]余虹.鱼骨图分析法在节能评估中的应用[D].武汉:华中科技大学,2011:14-19.Yu Hong.Application of Fishbone Diagram Analysis in the Evaluation of Energy Saving[D].Wuhan:Huazhong University of Science&Technology,2011:14-19.
[15]孙华丽,周战杰,薛耀锋,等.基于鱼骨图的公共安全风险测度与评价[J].中国安全科学学报,2011,21(7):138-143.Sun Huali,Zhou Zhanjie,Xue Yaofeng,et al.Risk measurement and evaluation of public safety based on fishbone diagram[J].China Safety Science Journal,2011,21(7):138-143.
[16]张展羽,陈子平,王斌,等.基于自由搜索的LS-SVM在墒情预测中的应用[J].系统工程理论与实践,2010,30(2):201-206.Zhang Zhanyu,Chen Ziping,Wang Bin,et al.Soil moisture content series prediction based on LS-SVM within free search[J].Systems Engineering-Theory&Practice,2010,30(2):201-206.
[17]许桂梅,黄圣国.应用LS-SVM的飞机重着陆诊断[J].系统工程理论与实践,2010,30(4):763-768.Xu Guimei,Huang Shengguo.Airplane's hard landing diagnosis using LS-SVM[J].Systems Engineering-Theory&Practice,2010,30(4):763-768.
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