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RSM and ANN modeling of the energy absorption behavior of steel thin-walled columns: a multi-objective optimization using the genetic algorithm
Journal of the Brazilian Society of Mechanical Sciences and Engineering ( IF 1.8 ) Pub Date : 2020-10-08 , DOI: 10.1007/s40430-020-02643-5
A. Dadrasi , A. R. Albooyeh , S. Fooladpanjeh , M. Danaei Shad , M. Beynaghi

In many industries, it is necessary to use structures that exhibit a proper stability against the design loads and depreciate the energy in a controlled manner. In this study, the energy absorption characteristics of thin-walled structures with rectangular cross sections are investigated under the quasi-static loading. The section of structures has a different aspect ratio, and in all of them, an elliptical cutout with a different diameter ratio exists on the larger side. In all instances, the area of the cross section and cutout is constant. Hence, an experimental design with two design parameters consisting of the shell aspect ratio and the diameter ratio of the cutout was conducted by applying the central composite design method. Energy absorption parameters were modeled using the artificial neural network and the response surface method. A systematic crashworthiness study was carried out with a multi-objective optimization design using the genetic algorithm. The results showed that the optimal amount of the specific energy absorption was 14.48 kJ/kg and the optimal amount of the peak crushing load was 37.77 kN which was obtained in the aspect ratio of 1 and the diameter ratio of 0.7. The validity of the results was confirmed by empirical experiments.



中文翻译:

钢薄壁柱能量吸收行为的RSM和ANN建模:使用遗传算法的多目标优化

在许多行业中,有必要使用对设计载荷表现出适当稳定性并以受控方式折旧能量的结构。在这项研究中,研究了矩形截面薄壁结构在准静态载荷下的能量吸收特性。结构的截面具有不同的纵横比,并且在所有截面中,直径较大的椭圆形切口都位于较大的一侧。在所有情况下,横截面和切口的面积都是恒定的。因此,通过采用中心复合设计方法进行了具有壳长宽比和切口直径比两个设计参数的实验设计。使用人工神经网络和响应面方法对能量吸收参数进行建模。使用遗传算法通过多目标优化设计进行了系统的耐撞性研究。结果表明,以1的长径比和0.7的直径比获得的比能量吸收的最佳量为14.48kJ / kg,峰值破碎负荷的最佳量为37.77kN。实验结果证实了结果的有效性。

更新日期:2020-10-08
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