| 大跨径PC连续刚构桥神经网络控制系统 |
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| 引用本文： | 任更锋,徐岳,王春生.大跨径PC连续刚构桥神经网络控制系统[J].长安大学学报(自然科学版),2007,27(2):38-41. |
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| 作者姓名： | 任更锋 徐岳 王春生 |
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| 作者单位： | 长安大学,桥梁与隧道陕西省重点实验室,陕西,西安,710064 |
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| 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。
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| 关 键 词： | 桥梁工程 连续刚构桥 施工控制 神经网络 标高预测 |
| 文章编号： | 1671-8879（2007）02-0038-04 |
| 收稿时间： | 2005-12-10 |
| 修稿时间： | 2005年12月10 |
Construction control system of long span prestressed concrete continuous rigid-frame bridge based on artificial neural network |
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| REN Geng-feng,XU Yue,WANG Chun-sheng.Construction control system of long span prestressed concrete continuous rigid-frame bridge based on artificial neural network[J].JOurnal of Chang’an University:Natural Science Edition,2007,27(2):38-41. |
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| Authors: | REN Geng-feng XU Yue WANG Chun-sheng |
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| Abstract: | 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. |
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| Keywords: | bridge engineering continuous rigid-frame bridge construction control artificial neural network elevation predictor |
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