摘要
本文将神经网络技术引入大跨度斜拉桥车桥耦合振动分析,首先利用BP神经网络对斜拉桥在车桥耦合作用下的振动响应进行逼近拟合,从而将复杂的有限元分析结果显式化为数学解析表达式,然后利用动力学显式分析方法求解斜拉桥在车辆作用下的动力学响应。计算结果表明,将神经网络技术引入车桥耦合振动分析,可以在保证逼近精度的前提下,大大缩短分析时间,为大跨度斜拉桥车桥耦合振动的分析提供新的思路。
In this paper,neural network technology is introduced to the analysis of the vehicle-bridge coupling vibration of long-span cable-stayed bridges.Firstly,the BP neural network is used to approximate the vibration response of the cable-stayed bridge under the coupling effect of the vehicle-bridge,and the complex finite element analysis results are thus explicitly displayed.It is converted into a mathematical analytical expression,and then the dynamic response of the cable-stayed bridge under the action of the vehicle is solved by the dynamic explicit analysis method.The results show that analysis of the neural network technology can greatly decrease the analysis time under the premise of satisfied approximation accuracy,and provide a new method for the analysis of the vehicle-bridge coupling vibration of large-span cable-stayed bridges.
作者
丘奕奇
QIU Yi-qi(Poly Changda Engineering Co.,Ltd.,Guangzhou 510620,China)
出处
《价值工程》
2023年第31期154-156,共3页
Value Engineering
关键词
桥梁工程
斜拉桥
车桥耦合
神经网络
振动
bridge engineering
cable-stayed bridges
vehicle-bridge coupling
neural network
vibration
