摘要
地铁基坑开挖过程中,基坑变形是不可避免的,如何精确地预测基坑变形显得尤为重要。基坑变形受影响因素种类复杂,常规的变形分析方法无法对基坑变形作出准确的预测分析。基于人工神经网络模型的特点,引入等维新息BP神经网络模型对基坑进行变形分析,将该模型应用到哈尔滨地铁基坑工程中,通过实例分析表明,等维新息BP神经网络模型对基坑变形分析预测精度较高,满足工程要求,对安全施工具有较高的参考价值。
During the excavation of the subway foundation pit,the deformation of the foundation pit is inevitable.How to accurately predict the deformation of the foundation pit is particularly important.The deformation factors of the foundation pit are complicated,and the conventional deformation analysis method can not accurately predict the deformation of the foundation pit.analysis.Based on the characteristics of the artificial neural network model,the BP neural network model with equal-dimension innovation is introduced to analyze the deformation of the foundation pit.The model is applied to the foundation pit engineering of Harbin Metro.The example analysis shows that the iso-dimensional innovation BP neural network model is applied to the foundation pit.Deformation analysis has high prediction accuracy,meets engineering requirements,and has high reference value for safe construction.
作者
于庆锋
马传宁
袁站芳
YU Qingfeng;MA Chuanning;YUAN Zhanfang(The First Surveying and Mapping Engineering Institute of Heilongjiang,Harbin 150025,China;Heilongjiang Institute of Geomatics Engineering,Harbin 150081,China)
出处
《测绘与空间地理信息》
2020年第S01期38-41,共4页
Geomatics & Spatial Information Technology
基金
黑龙江省对地观测与导航工程技术创新平台(ZY17A02)资助。
关键词
基坑变形
影响因素
等维新息
BP神经网络模型
foundation pit deformation
influencing factors
equal-dimensional innovation
BP neural network model