The Application of BP Neural Network in Continuous Girder Bridge Construction Control
Deflection control of construction is a crucial step of bridge construction monitor control in cantilever construction process.The control results of which will directly influence the quality of closure construction of bridge structure.The deflection is influenced by so many factors which made the calculation and analysis process complicated. This paper use BP Artificial Neural Network technology to comprehensively discuss the influences on bridge linear cased by many various factors.In addition,the theoretical data of former several construction stages was used for network training,so that the construction deflections of subsequent construction stages will be forecasted.Through the comparison between predicted values and measured value,the reliability of Neural Network forecast method is verified.Its concluded that:in the construction control,it is beneficial t o improve the control precision by means of combining preliminary prediction with later prediction,and there’ll be certain reference value in similar projects.
WANG Lifeng XIAO Ziwang WANG Xinzheng
Associate professor,School of Civil Engineering,Northeast Forestry University,Harbin,150040,P.R.Chin Postgraduate Student,School of Civil Engineering,Northeast Forestry University,Harbin,150040,P.R.Chi Candidate,College of Mechanical and Electrical Engineering,Northeast Forestry University,Harbin,1500
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-4
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）