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基于BP神经网络的桥梁断面最不利风攻角预测 被引量:1

Prediction of the Most Unfavorable Wind Attack Angle of Bridge Crosssection Based on BP Neural Network
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摘要 为研究服役桥梁面板在风场环境下的力学性能变化规律,文中基于COMSOL多物理场有限元软件建立杭州某桥梁截面模型,分析在不同风向和风攻角作用下桥梁截面风速和压力场的变化情况。模拟计算结果表明,(1)风向越大,桥梁断面的风场和压力场的影响越小。(2)当风攻角从-4°增加到-2°时,桥梁断面的最大负压逐渐减小,然后逐渐增大。即对于桥梁断面而言,最有利的风攻角为-2°。进一步结合模拟数据结果和BP神经网络,开展最不利风攻角预测。 To study the changes in mechanical properties of in-service bridge panels in wind field environments,a section model of a bridge in Hangzhou was established based on COMSOL multi physical field finite element software.The changes in wind speed and pressure field of the bridge section under different wind directions and wind attack angles were analyzed.The simulation calculation results indicate that:(1)the larger the wind direction,the smaller the influence of the wind and pressure fields on the bridge section.(2)When the wind attack angle increases from -4°to -2°,the maximum negative pressure of the bridge section gradually decreases and then increases.For the bridge section,the most favorable wind attack angle is -2°.Furthermore,combining simulation data results with BP neural network,the most unfavorable wind attack angle prediction is carried out.
作者 李晶晶 Li Jingjing(Tongzhu Zhihui Information Technology(Jiaxing)Co.Ltd.,Hangzhou,Zhejiang 311400)
出处 《江西建材》 2023年第4期260-261,264,共3页 Jiangxi Building Materials
基金 浙大城市学院横向课题《基于深度学习的装配式桥梁塔式支架承载能力检测分析与预测研究》(编号:K22-204000-008)。
关键词 桥梁断面 COMSOL模拟 风攻角 风向 压力场 BP神经网络 Bridge section COMSOL simulation Wind angle of attack Wind direction Pressure field BP network
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