首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers. Part L, Journal of Materials: Design and Application >Optimization of performance in multi-cell beams with different surface slopes for use in vehicle structure using a multi-objective evolutionary algorithm based on decomposition
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Optimization of performance in multi-cell beams with different surface slopes for use in vehicle structure using a multi-objective evolutionary algorithm based on decomposition

机译:利用基于分解的多目标进化算法,在车辆结构中使用不同表面斜率的多电池梁的性能优化

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This study examined the effect of the upper surface slope and the number of cells in the side beams on the collapse properties using experimental and numerical tests. The numerical studies were conducted with LS-DYNA software, and the accuracy of numerical results was investigated by experimental tests. Using MATLAB software, the second-degree polynomial functions were obtained for the collapse properties of the specimens. Also, after the optimization by the decomposition method, the best mode was introduced for the specimens. The studies on collapse properties showed that increasing the number of cells leads to a decrease in all collapse properties, and increasing the upper surface slope leads to an increase in the collapse properties. Moreover, the optimization results by decomposition method showed that this method could suggest the most optimal model for multi-cell and sloping beams.
机译:该研究检查了使用实验和数值测试的折射特性在坍塌特性上的上表面斜率和细胞数的效果。 用LS-DYNA软件进行数值研究,通过实验测试研究了数值结果的准确性。 使用MATLAB软件,获得了试样的塌陷性能的二级多项式函数。 此外,在通过分解方法优化之后,为试样引入了最佳模式。 塌陷性质的研究表明,增加细胞数量导致所有塌陷性能的减少,并增加上表面斜率导致塌陷性能的增加。 此外,通过分解方法的优化结果表明,该方法可以提示多电池和倾斜光束的最佳模型。

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