Topology optimization of multi-objective crashworthiness structure based on Improved Bi-directional Evolutionary Structural Optimization

In view of the checkerboard and gray cell optimization problems easily occur in the structural topology optimization under the traditional impact load, In this paper, based on the domain idea of cellular automata algorithm and 0–1 idea of bidirectional asymptotic method, an improved bidirectional asymptotic algorithm is proposed. Taking the most common anti-collision cushion structure in traffic facilities as an example, Topology optimization of multi-objective crashworthiness structure under impact load was carried out. In order to obtain the best structure configuration satisfying multi-objective condition. The simulation results show that the maximum acceleration of the anti-collision cushion configuration obtained by this algorithm is far less than the specification requirements, and the lightweight design of the structure can be achieved on the premise of meeting the functional requirements of the structure.