基于近似模型的动车组塞拉门携门架轻量化设计
Lightweight design of door-leaf carrier of EMU sliding plug door based on approximate model
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摘要: 针对动车组塞拉门携门架轻量化设计问题，在有限元分析和参数化携门架的基础上构建基于径向基函数的携门架近似模型，利用多岛遗传算法（MIGA）的全局性和序列二次规划算法（NLPQL）的高效性对近似模型进行组合优化.强度校检结果表明，优化后携门架总质量为11.356 kg，比原结构减轻了10.6%，在3种加载工况下最大应力93 MPa，可满足结构强度的要求.这表明该轻量化设计是合适的.Abstract: Aiming at the problem of lightweight design of door-leaf carrier of EMU sliding plug door,based on the finite element analysis and parametric articles of door-leaf carrier,the radial basis function was used for an approximate model based on the radical basis function was constructed.Then by combining the global superiority of multi-island genetic algorithm and the high efficiency of NIPQL approximate model was optimized.The strengh check results showed that the total weight of the door-leaf carrier was 11.356 kg,decreased by 10.6%,the maximum stress under three working condition was 93 MPa,which satisfied stree requirement.This lighweigh design was suitable.
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