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基于BP神经网络算法的特大跨度斜拉桥施工过程中的线形预测
引用本文:卜一之,李玉耀.基于BP神经网络算法的特大跨度斜拉桥施工过程中的线形预测[J].现代交通技术,2009,6(1):24-27.
作者姓名:卜一之  李玉耀
作者单位:西南交通大学土木工程学院,四川,成都,610031
摘    要:随着斜拉桥跨度的增大,其几何非线性因素影响越来越明显,这就需要寻求考虑几何非线性影响的特大跨度斜拉桥施工线形预测方法。文章分析BP神经网络算法的基本原理及改进措施,借助Matlab语言建立预测模型,探讨其在特大跨度斜拉桥施工控制中的应用。以某主跨为1088m的特大跨度钢箱梁斜拉桥为工程背景,验证该方法的合理性和可行性,为同类型桥梁的线形控制提供参考。

关 键 词:斜拉桥  BP神经网络  线形预测  施工过程

Application of BP Neural Network in Alignment Predicition of Super-span Cable-stayed Bridges Construction
Bu Yizhi,Li Yuyao.Application of BP Neural Network in Alignment Predicition of Super-span Cable-stayed Bridges Construction[J].Modern Transportation Technology,2009,6(1):24-27.
Authors:Bu Yizhi  Li Yuyao
Institution:School of Civil Engineering;Southwest Jiaotong University;Chengdu 610031;China
Abstract:With the span of cable-stayed bridge increasing,the geometric nonlinear influence becomes more and more obvious,which need to seek a method of alignment prediction considering the geometric nonlinearity in super-span cable-stayed bridge construction.In this paper,the basic principles and measures are analyzed for improvement of BP neural network with the establishment of Matlab language model to explore its application in construction control of large-span cable-stayed bridge.Taking a steel girder cable-sta...
Keywords:cable-stayed bridge  BP neural network  alignment prediction  construction process  
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