摘要
为降低高速列车的气动阻力,对高速列车流线型头尾进行优化设计.建立高速列车空气动力学模型,基于三维黏性不可压缩控制方程组和两方程湍流模型,对明线上运行的3节编组列车周围流场模拟计算.构造6个优化设计变量关于空气阻力的响应面函数.结果表明,各优化设计变量之间相互耦合,和优化目标之间存在非线性关系,同时得到了各设计变量对空气阻力的贡献率.优化后,空气阻力值降低10.8%.
Shape optimization is used to reduce aerodynamic resistance of high-speed train. After building the aerodynamics model, flow field around the high-speed train is simulated based on three-dimension uncompressible equations and turbulent model of two equations. Response surface function of 6 design variables is established. Results show that the design variables are coupled with each other and optimization object is the nonlinear function of the variables. Contribution to air resistance of each variable is also calculated. Air resistance is reduced 10.8% after optimizing.
出处
《大连交通大学学报》
CAS
2017年第4期83-87,共5页
Journal of Dalian Jiaotong University
基金
中国铁路总公司科技研究开发计划资助项目(2015J007-H)
关键词
气动优化
网格自动变形
响应面法
遗传算法
aerodynamic optimization
mesh automatic deformation
response surface method
multi-islandgenetic algorithm