基于EBF神经网络铁路箱梁桥结构的优化

为研究列车对铁路箱梁桥造成的振动影响,以24 m铁路箱梁桥为例,依据正交实验,从模型中选择的7个参数中确定弹簧刚度、弹簧间距和桥梁弹性模量为显著影响参数,并将其作为设计变量,通过最优拉丁超立方实验抽样方法,结合椭圆基函数神经网络建立近似模型,确定跨中的挠度、加速度和1阶竖向弯曲的自振频率,采用NSGA-II遗传算法对神经网络近似模型进行了优化。结果表明,优化后较优化前的模型箱梁桥跨中的挠度下降了7.0%,加速度下降了9.0%,1阶竖向弯曲的自振频率下降了9.5%,桥梁振动得到有效改善,为后续铁路箱梁桥设计与仿真分析提供理论参考。

Design and Research of Class 900 t Railway Box-girder Bridge Erecting Machine

In this article, the current railway box girder bridge erecting machines at home and abroad are briefly introduced and analyzed, the research & design situation of class 900t railway box girder bridge erecting machines is described, and also the principle for determining the overall plan and a series of issues much concerning the design of key components of class 900t railway box girder bridge erecting machines are described.