摘要
介绍了传统的连续刚构桥施工监控方法,提出了以神经网络为基本控制理论的施工控制方法。根据神经网络自身特点,以及桥梁立模标高影响因素的复杂性,对神经网络影响因素进行了分析。以截面尺寸、弹性模量、温度、与零号块浇筑的时间差以及悬臂端的悬臂长度作为输入矢量,借助图形用户界面,构建了神经网络,实现了对大跨径PC连续刚构桥施工过程的预测控制。
Based on the introduction of traditional supervision method for the construction of long span prestressed concrete continuous rigid-frame bridge, the construction supervision method based on artificial neural metwork is presented. In this method, the complexity of factors influencing the elevation is discussed. The size of section, elasticity modulus, temperature, delay of construction and the length of cantilever are taken as import vectors, the neural network is developed with the graphic user＇s interface to realize the construction control for this kind of bridge. 5 figs, 10 refs.
出处
《长安大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2007年第2期38-41,共4页
Journal of Chang’an University(Natural Science Edition)
基金
中国博士后科学基金项目(200415)
关键词
桥梁工程
连续刚构桥
施工控制
神经网络
标高预测
bridge engineering
continuous rigid-frame bridge
construction control
artificial neural network
elevation predictor
