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基于果蝇优化算法的保险杠横梁复合结构的优化设计
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摘要
本文结合了实验设计理论、计算仿真和统计学方法,提出了一种基于果蝇优化算法(FOA)的新型保险杠横梁复合结构的设计方法,并对横梁复合结构进行优化研究。首先,在整车正面碰撞有限元模型的基础上设计保险杠横梁结构,并根据正面碰撞法规C-NCAP进行整车有限元模型的可行性验证。接着通过极差分析方法得到保险杠横梁复合结构的基本参数的选择方案;然后,以降低人体头部损伤(HIC)为优化目标,以横梁质量和相对成本为约束条件,运用最优拉丁方设计选取样本点,构造目标函数和约束函数的响应面模型。最后,通过果蝇优化算法得到了横梁复合结构尺寸的最优解集,并与遗传算法进行对比,验证果蝇优化算法的全局稳定性和快速收敛性。结果表明,使用新型复合结构的保险杠横梁,在整车正面碰撞工况中,人体头部损伤降低了6.37%,在材料成本不超过120%的情况下质量减轻了4.84%。
Design about a new composite bumper beam is put forward based on the Fruit Fly Optimization Algorithm(FOA),and this design combine experimental design,computing simulation and statistical methods.The main purpose of the paper is to optimize the composite bumper beam.First of all,according to the frontal crashes regulations of C-NCAP,the FE model is set up and verified in energy.Then,the composite bumper beam is analyzed by Orthogonal experimental design,to obtain the basic parameters of composite structure.Third,with the optimization goal of minimum the Head Injury Criterion(HIC),the quality of composite structure and its relative cost are treated as constraint conditions,sample points are selected by the Optimal Latin Square Design,the Response Surface Model is built.In the end,the optimal solutions are calculated by FOA,the simulation results are comparatively studied by FOA and Genetic Algorithm(GA),these results show that the FOA has better global stability and fast convergence of optimization algorithm than the GA.In the frontal crashes of vehicle,the composite structure design is used in bumper beams,the optimal calculation results were obtained- the value of HIC is reduced by 6.37%,under the condition of the material relative cost no more than 1.2 times than the original cost,the quality of bumper beam is reduced by 4.84%.
引文
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