基于径向基函数神经网络的轨道板运输车优化设计
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摘要
传统轨道板运输车的设计过于保守,车架结构强度有较大余量,为减轻结构自重,减少制造成本,提出一种新的优化方法。该方法采用有限元软件ANSYS和优化软件ISIGHT,首先通过拉丁超立方设计方法选出对约束条件和目标函数影响较大的设计变量,然后根据选出的设计变量建立神经网络径向基近似模型,最后利用多岛遗传算法对近似模型进行优化。优化结果表明,该方法能提高优化效率,优化后轨道板运输车结构自重降低了9.9%,对轨道板运输车的设计有重要参考价值。
Traditional design methods of rail plate carrying vehicle tend to be conservative. The structural strength had a large surplus. To reduce weight and the manufacturing cost of the structure,a new structure optimization method was proposed. This method combines the finite element software ANSYS and the optimization software ISIGHT. First of all,choosing the design variables which have large influence on constraint condition and objective function by the method of Latin Hypercube Design( LHD). Then,the model of the neural network radial basis approximation is set up. Finally,the approximate model is optimized by using the Multi Island Genetic Algorithm( MIGA). The results show that the method can greatly improve the efficiency of optimization,and the structure weight of rail plate carrying vehicle reduce 9. 9 % by the optimization design which is of important significance for the design of rail plate carrying vehicle.
Traditional design methods of rail plate carrying vehicle tend to be conservative. The structural strength had a large surplus. To reduce weight and the manufacturing cost of the structure,a new structure optimization method was proposed. This method combines the finite element software ANSYS and the optimization software ISIGHT. First of all,choosing the design variables which have large influence on constraint condition and objective function by the method of Latin Hypercube Design( LHD). Then,the model of the neural network radial basis approximation is set up. Finally,the approximate model is optimized by using the Multi Island Genetic Algorithm( MIGA). The results show that the method can greatly improve the efficiency of optimization,and the structure weight of rail plate carrying vehicle reduce 9. 9 % by the optimization design which is of important significance for the design of rail plate carrying vehicle.
引文
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[2]张志华.DCY100型动力平板运输车[J].船舶工程,2002(3):61-63.
[3]王金诺,于兰峰.起重运输机械金属结构[M].北京:中国铁道出版社,2002:43-47.
[4]赖宇阳.Isight参数优化理论与实例详解[M].北京:北京航空航天大学出版社,2012.
[5]郭家伟,李彦伟,陈旭升.悬架K&C特性对车辆操控性能影响的分析[J].汽车实用技术,2015(7):7-9.
[6]尤文坚,叶雪英,唐仕云.基于径向基神经网络农机数量预测的研究[J].中国农机化学报,2013,34(2):38-41.
[7]龙腾,郭晓松,彭磊,等.基于信赖域的动态径向基函数代理模型优化策略[J].机械工程学报,2014,50(7):184-190.
[8]傅珂,王霄,刘会霞,等.性能仿真驱动的皮卡车空调出风口优化设计[J].机电一体化,2015(5):63-67.
[9]程兵,于兰峰,吴永明,等.基于响应面法的地坑式架车机轻量化研究[J].工程设计学报,2016,23(6):606-611.