چكيده به لاتين
Complex nonlinear behavior of materials is the most important challenges the automotive industry faces today. Due to the energy absorption importance and occupant safety, enhancing the crashworthiness properties in optimization design should be considered. In this thesis, a Hybrid Cellular Automata (HCA) method that is practical in dynamic problems is studied the topology optimization under impact loading. By modifying this method, a new idea is proposed to improve the crashworthiness properties of the optimized model. The solutions are based on applying the plastic strain constraint and finding the main load patch configuration in the vehicle bumper beam sample. The purpose of the modified HCA (MHCA) algorithm is to uniform the plastic strain distribution during the whole collision time. For the first time, the variable neighborhood radius concept has been defined, which, while preventing the checkerboarding problem, has resulted as intelligence searching. Also, this idea, by reducing the total number of optimizations iterations, has made the MHCA algorithm more useful. Validation of this method has been done with several different models and the energy absorption properties have been compared graphically. Also, new relationships are obtained in terms of the mass fraction ratio. Crashworthiness property in the proposed final pattern is improved and the specific absorbed energy is 12% more than the original design model.
