Multi-objective optimisation design of a double-chamber airbag landing system with structure-selection techniques
Hanfeng Yin, Guilin Wen · International Journal of Crashworthiness · 2012
Airbag landing system has recently been used more and more extensively in industry for its excellent energy absorption capacity as well as extremely light weight. Firstly, we investigate a single-chamber airbag (SCA) under dynamic loading through experiment by using the Dynatup 9200 impact testing machine. Then, the corresponding non-linear finite element (FE) model of the SCA is established through LS-DYNA. From the comparison between the numerical results and the experimental results, we find that the FE model of the SCA is accurate enough for the engineering application. According to the FE modelling method of the SCA, the non-linear FE model a double-chamber airbag (DCA) landing system is established. Based on the FE numerical results, the polynomial function meta-models of the peak acceleration and the peak rebound velocity of the landing equipment of the DCA landing system are obtained by employing the error reduction ratio (ERR) structure-selection techniques. Finally, the DCA landing system is optimised on the basis of the meta-models by adopting the multi-objective particle swarm optimisation (MOPSO) algorithm to achieve minimum peak acceleration as well as minimum peak rebound velocity of the landing equipment.