离散变量优化设计方法及其在轻轨车车体设计中的应用

Optimal Technique with Discrete Variables and Its Application in the Design of Carbody of LRV

针对轻轨车车体的特点,在连续变量优化分析的基础上,提出了改进的离散变量优化算法。算法将约束条件中的应力函数按照泰勒级数在连续变量优化解附近展开,近似用设计变量的一次函数替代,然后在一定的误差范围内,剔除不符合要求的多数解,在少量剩余解中用有限元验算求得最优解。按此方法设计的车体已用于实际运行的轻轨车辆。

Taking the optimization design features of light rail vehicle,abbreviated to LRV,into account,an improved optimization technique of discrete variables was presented based on analysis of optimization of continuous variables.By new technique,stress function meeting boundary conditions approximately can be substituted with first-order function of the design variables,which are close to continuous ones,through Tailor's series expansion.Unacceptable solutions with much error were ruled out,and the remainder was verified by FEM to obtain the ultimate reasonable one.The carbody optimized by the new technique has been used in LRV in running actually.