遗传算法的灰色神经网络在基坑变形中的应用
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摘要
针对基坑施工安全和能够快速地发现基坑变形的问题,该文提出用遗传算法的灰色神经网络对基坑沉降观测数据进行处理,并预测变形大小。实例数据表明,通过预测变形值与实际变形值进行比较,可知遗传算法的灰色神经网络模型的收敛速度较快,训练时间较短,预测精度较高,能满足工程精度的要求。通过与GM(1,1),BP神经网络模型和灰色系统和神经网络的组合模型进行比较,本模型是最优的。
In order to better understand the deformation of foundation pit and ensure the safety of foundation pit construction,it is adopted grey neural network model of genetic algorithm and Matlab to process sedimentation observation data of foundation pit and predict deformation size.The example results showed that it could be seen that the convergence speed of the model was fast and train time was short,therefore,the prediction accuracy is high,and it could meet the requirements of engineering accuracy through compared the predicted deformation values with the actual deformation values.The model was optimal compared with GM(1,1),BP neural network model and a combination model of grey system and neural network.
In order to better understand the deformation of foundation pit and ensure the safety of foundation pit construction,it is adopted grey neural network model of genetic algorithm and Matlab to process sedimentation observation data of foundation pit and predict deformation size.The example results showed that it could be seen that the convergence speed of the model was fast and train time was short,therefore,the prediction accuracy is high,and it could meet the requirements of engineering accuracy through compared the predicted deformation values with the actual deformation values.The model was optimal compared with GM(1,1),BP neural network model and a combination model of grey system and neural network.
引文
[1]李建飞.组合模型在基坑变形监测中的应用[D].成都:成都理工大学,2013.(LI Jianfei.Application ofcombined models in prediction of pit monitoring[D].Chengdu:Chengdu University of Technology,2013.)
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[3]黄声享,尹辉,蒋征.变形监测数据处理[M].武汉:武汉大学出版社,2003.(HUANG Shengxiang,YINHui,JIANG Zheng.Deformation monitoring dataprocessing[M].Wuhan:Wuhan University,2003.)
[4]蒋国盛,李红民,管典志,等.基坑工程[M].北京:中国地质大学出版社,2000.(JIANG Guosheng,LI Hongmin,GUAN Dianzhi,et al.Foundation pit engineering[M].Beijing:China University of Geosciences Press,2000.)
[5]LONG M.Database for retaining wall and groundmovements due to deep excavations[J].Journal ofGeotechnical and Geoenvironmental Engineering,2001,127(33):203-224.
[6]FINNO R J,BLACKBUM T J,ROBOSKI J E.Three-dimensional effects for supported engineering in clay[J].Journal of Geotechnical &GeoenvironmentalEngineering,2007,133(1):30-36.
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[8]任建喜,冯晓光,刘慧,等.地铁车站深基坑围护结构变形规律监测研究[J].铁道工程学报,2009,26(3):89-92.(REN Jianxi,FENG Xiaoguang,LIU Hui,et al.Research on the deformation law of supporting structurefor deep foundation pit of metro station[J].Journal ofRailway Engineering Society,2009,26(3):89-92.)
[9]兰进京,刘耀鹏,宋佳.基于BP神经网络和Matlab的基坑变形的研究[J].河南城建学院学报,2017,26(4):13-18.(LAN Jinjing,LIU Yaopeng,SONGJia.Study on deformation of foundation pit based on BPneural network and Matlab[J].Journal of HenanUniversity of Urban Construction,2017,26(4):13-18.)
[10]陈泰霖,潘向丽,王安民,等.郑州某深基坑工程监测与分析[J].华北水利水电学院学报,2008,29(5):76-78.(CHEN Tailin,PAN Xiangli,WANG Anmin,et al.Survey and analysis of a foundation pit in Zhengzhou[J].Journal of North China Institute of Water Conser-vancy and Hydroelectric Power,2008,29(5):76-78.)
[11]胡钧,杜坚.深基坑测斜监测技术及计算方法改进[J].大坝观测与土工测试,1997,21(2):31-37.(HU Jun,DU Jian.A discussion of observing method forconcrete-face deformation[J].Dam Observation andGeotechnical Tests,1997,21(2):31-37.)
[12]何春保.测斜监测在深基坑施工中的应用[J].科学技术与工程,2008,8(23):6406-6409.(HE Chunbao.Obliquemonitoring technology in deep excavation[J].ScienceTechnology and Engineering,2008,8(23):6406-6409.)
[13]王光辉,赵运臣,王兆峰,等.某软土地层深基坑施工对邻近建筑物的影响[J].施工技术,2008,37(9):16-18.(WANG Guanghui,ZHAO Yunchen,WANG Zhaofeng,et al.Influence of deep foundation pit construction insoft ground to adjacent buildings[J].ConstructionTechnology,2008,37(9):16-18.)
[14]王会青,王婷,谷志红.基于灰色神经网络法的高峰负荷预测[J].华东电力,2005,33(4):11-13.(WANGHuiqing,WANG Ting,GU Zhihong.Peak load forecas-ting based on grey neural network method[J].EastChina Electric Power,2005,33(4):11-13.)
[15]冯宪彬,丁蕊.改进型遗传算法及其应用[M].北京:冶金工业出版社,2016.(FENG Xianbin,DING Rui.Improved genetic algorithm and its application[M].Beijing:Metallurgical Industry Press,2016.)
[2]王铁宏,张雁.深基坑支护结构与桩基工程新技术[M].北京:中国环境科学出版社,2007.(WANGTiehong,ZHANG Yan.New technology of retainingstructure and pile foundation engineering of deep foun-dation pit[M].Beijing:China Environmental SciencePress,2007.)
[3]黄声享,尹辉,蒋征.变形监测数据处理[M].武汉:武汉大学出版社,2003.(HUANG Shengxiang,YINHui,JIANG Zheng.Deformation monitoring dataprocessing[M].Wuhan:Wuhan University,2003.)
[4]蒋国盛,李红民,管典志,等.基坑工程[M].北京:中国地质大学出版社,2000.(JIANG Guosheng,LI Hongmin,GUAN Dianzhi,et al.Foundation pit engineering[M].Beijing:China University of Geosciences Press,2000.)
[5]LONG M.Database for retaining wall and groundmovements due to deep excavations[J].Journal ofGeotechnical and Geoenvironmental Engineering,2001,127(33):203-224.
[6]FINNO R J,BLACKBUM T J,ROBOSKI J E.Three-dimensional effects for supported engineering in clay[J].Journal of Geotechnical &GeoenvironmentalEngineering,2007,133(1):30-36.
[7]任建喜,高立新,刘杰,等.深基坑变形规律现场监测[J].西安科技大学学报,2008,28(3):445-449.(RENJianxi,GAO Lixin,LIU Jie,et al.In-situ monitoring ondeformation laws of deep foundation pit[J].Journal ofXi’an University of Science and Technology,2008,28(3):445-449.)
[8]任建喜,冯晓光,刘慧,等.地铁车站深基坑围护结构变形规律监测研究[J].铁道工程学报,2009,26(3):89-92.(REN Jianxi,FENG Xiaoguang,LIU Hui,et al.Research on the deformation law of supporting structurefor deep foundation pit of metro station[J].Journal ofRailway Engineering Society,2009,26(3):89-92.)
[9]兰进京,刘耀鹏,宋佳.基于BP神经网络和Matlab的基坑变形的研究[J].河南城建学院学报,2017,26(4):13-18.(LAN Jinjing,LIU Yaopeng,SONGJia.Study on deformation of foundation pit based on BPneural network and Matlab[J].Journal of HenanUniversity of Urban Construction,2017,26(4):13-18.)
[10]陈泰霖,潘向丽,王安民,等.郑州某深基坑工程监测与分析[J].华北水利水电学院学报,2008,29(5):76-78.(CHEN Tailin,PAN Xiangli,WANG Anmin,et al.Survey and analysis of a foundation pit in Zhengzhou[J].Journal of North China Institute of Water Conser-vancy and Hydroelectric Power,2008,29(5):76-78.)
[11]胡钧,杜坚.深基坑测斜监测技术及计算方法改进[J].大坝观测与土工测试,1997,21(2):31-37.(HU Jun,DU Jian.A discussion of observing method forconcrete-face deformation[J].Dam Observation andGeotechnical Tests,1997,21(2):31-37.)
[12]何春保.测斜监测在深基坑施工中的应用[J].科学技术与工程,2008,8(23):6406-6409.(HE Chunbao.Obliquemonitoring technology in deep excavation[J].ScienceTechnology and Engineering,2008,8(23):6406-6409.)
[13]王光辉,赵运臣,王兆峰,等.某软土地层深基坑施工对邻近建筑物的影响[J].施工技术,2008,37(9):16-18.(WANG Guanghui,ZHAO Yunchen,WANG Zhaofeng,et al.Influence of deep foundation pit construction insoft ground to adjacent buildings[J].ConstructionTechnology,2008,37(9):16-18.)
[14]王会青,王婷,谷志红.基于灰色神经网络法的高峰负荷预测[J].华东电力,2005,33(4):11-13.(WANGHuiqing,WANG Ting,GU Zhihong.Peak load forecas-ting based on grey neural network method[J].EastChina Electric Power,2005,33(4):11-13.)
[15]冯宪彬,丁蕊.改进型遗传算法及其应用[M].北京:冶金工业出版社,2016.(FENG Xianbin,DING Rui.Improved genetic algorithm and its application[M].Beijing:Metallurgical Industry Press,2016.)