遗传算法的灰色神经网络在基坑变形中的应用Study on deformation of foundation pit based on grey neural network model of genetic algorithm
胡圣武
摘要(Abstract)：
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。
关键词(KeyWords)： 遗传算法;灰色系统;BP神经网络;Matlab;基坑变形;变形值;预测值
基金项目(Foundation): 国家自然科学基金项目(41572341)
作者(Author): 胡圣武
DOI: 10.16251/j.cnki.1009-2307.2019.03.015
参考文献(References)：
- [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.)
- [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.)