基于微型遗传算法汽车安全气囊系统优化设计

Optimization Design of Auto Vehicle Airbag System using Micro Genetic Algorithm

采用LS-DYNA软件建立了汽车安全气囊的有限元模型,通过跌落塔试验验证了CAE模型的有效性。首先利用微型遗传算法对安全气囊的排气孔直径、拉带长度和气体发生器质量流率等参数进行了优化,然后结合整车正面碰撞试验验证了该模型优化参数的准确性。结果表明,当安全气囊的排气孔直径为48 mm,拉带长度为240 mm,气体发生器质量流率为1.1 k时,气囊能最大程度地保护乘员的头部、颈部和胸部安全。

A FE model of airbag was established in LS-DYNA and validated against drop tower test. Micro genetic algorithm was employed to optimize the parameters of airbag including the diameter of the vent, drawstring length and mass flow rate of the gas generator, the validity of the optimized parameters was verified by a vehicle frontal impact test. The results indicated that the airbag can greatly reduce the head, neck and thorax injury of the driver with the combination of a vent diameter of 48 mm, a drawstring of 240 mm and a mass flow rate of 1.1 k for the gas generator.