基于BP法的拱桥拱圈温度场研究

应明¹, 郑一峰¹, 王德军²

1.吉林大学建设工程学院;2.哈尔滨工业大学交通科学与工程学院



摘要:

在现代桥梁施工控制中,为依据现场温度测试数据模拟复杂的温度场计算,采用人工神经网络的BP算法解决该问题.基于葫芦山湾跨海大桥的现场实测温度数据,运用较为成熟的BP网络模型,通过MAT-LAB对采集数据进行模拟和对比,不断修改输入因素,建立输入与输出的映射关系.分析了温度场的关键影响因素,并重点研究减少输入节点数提高运算速度的方法.求解出来的温度场可以作为下一阶段的预测或参考,也可以以此为背景进行全桥温度场的模拟预测.

关键词:  桥梁施工控制  BP网络模型  温度场

DOI：10.11918/j.issn.0367-6234.2011.02.027

分类号:U448.22

基金项目:



Research of arch bridge arch ring temperature field based on BP method

YING Ming¹, ZHENG Yi-feng¹, WANG De-jun²

1.Civil Engineering Department,Jilin University,130026 Changchun,China;2.School of Transportation Science and Engineering,Harbin Institute of Technology,150090 Harbin,China)

Abstract:

In the modern bridge construction control,the application of artificial neural network BP algorithm is practically used to solve the calculation of temperature field,with the On-site temperature test data.Based on the measured temperature data of the HU LU WAN Bridge,and by using mature BP network model and MATLAB,the mapping relationship between input and output is established.Some key factors on temperature field are analyzed and a method with less number of input nodes and high calculating speed is studied.The calculated temperature field is significant for the temperature field simulation of the whole bridge and its construction.

Key words:  bridge construction control  back propagation(BP) algorithm  temperature field