Research of deformation prediction method of soft soil deep foundation pit

被引:9
作者
麻凤海 [1 ]
郑艳 [2 ]
杨帆 [2 ]
机构
[1] Rock-Soil and Structure Control Engineering Research Center,Dalian University,Dalian 116622,China
[2] School of Geomatics,Liaoning Technical University,Fuxin 123000,China
基金
中国国家自然科学基金;
关键词
soft soil deep foundation pit; deformation prediction; neural network; grey theory; time series analyses;
D O I
暂无
中图分类号
TU476 [特殊形式基础];
学科分类号
081401 ;
摘要
In view of the characteristics of soft soil deep foundation pit for the construction and geotechnical characteristics of the special medium,it is difficult to calculate theoreti- cally accurately structural deformation of the foundation pit,so in the course of excavation on the construction of the information is particularly important.The analysis and compari- son of several popular non-linear forecasting methods,combined with the actual projects, set up a grey theoretical prediction model,time series forecasting model,improved neural network model to predict deformation of the foundation pit.The results show that the use of neural network to predict with high accuracy solution,it is the foundation deformation prediction effective way in underground works with good prospects.
引用
收藏
页码:637 / 639
页数:3
相关论文
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