铁道标准设计2018，Vol.62Issue(7)：87-91,5.DOI:10.13238/j.issn.1004-2954.201707300002
基于均匀设计与神经网络的桥梁设计参数优化
Optimization of Bridge Design Parameters Based on Uniform Design and Neural Network
摘要
Abstract
In order to establish the mapping relationship between the bridge design parameters and the bridge performances and optimize the bridge design parameters,a method based on uniform design and neural network is presented.The strength,deflection and concrete dosage of bridge as taken as the optimization targets,and such main design parameters as the ratio of side to main span,middle beam height,pier top beam height and curve power are optimized.Sample data for optimization design are obtained by means of uniform experimental design,and BP neural network is employed to train sample data and establish the mapping relationship between the parameters of the bridge and the bridge performances,then the best design parameters for the bridge are calculated.关键词
桥梁/设计参数/均匀设计/BP神经网络/优化Key words
Bridge/Design parameter/Uniform design/BP neural network/Optimization分类
交通工程引用本文复制引用
高颖,王可意,郭庆林,朱涵..基于均匀设计与神经网络的桥梁设计参数优化[J].铁道标准设计,2018,62(7):87-91,5.基金项目
国家自然科学基金项目(51508150) （51508150）
