泡沫铝填充薄壁金属圆管吸能特性的预测及优化方法

In order to improve the energy absorption characteristics of aluminum foam-filled thin-walled metal circular tube and realize high-efficiency structural design, an approximate model of the energy absorption characteristics of aluminum foam-filled aluminum tube under axial impact is established based on the uniform Latin hypercube design method and radial basis neural network, and it is embedded into the genetic algorithm to realize the structural optimization of components. The results show that the goodness of fit of the approximate model based on the radial basis neural network is greater than 0. 99, the root mean square error is less than 0. 08, and the calculation time of the approximate model is only 0. 56% of the numerical calculation. The approximate model can greatly improve the calculation efficiency while ensuring higher accuracy. Through the optimization of the structure of aluminum foam-filled aluminum tube, it is found that the average compression force of aluminum foam-filled aluminum tube can be maximized by increasing the radius and wall thickness of the circular tube and reducing the height, and on the contrary, its peak compression force can be minimized. The multi-objective optimization based on the genetic algorithm significantly improves the energy absorption characteristics of aluminum foam-filled aluminum tube. The research results can provide a reference for the rapid design and optimization of aluminum foam-filled thin-walled metal circular tube.