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Multiobjective crashworthiness optimization of thin-walled structures with functionally graded strength under oblique impact loading

机译:倾斜冲击载荷下功能梯度强度薄壁结构的多目标耐撞性优化

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In this paper, the crashworthiness of a new introduced thin-walled structure made of hot stamping high strength steel with functionally graded strength (FGS), i.e. wall strength varying along the axial direction with a specific gradient, is investigated. The FGS columns are comprehensively studied under both axial crushing and oblique impact loading in the nonlinear FE mode LS_DYNA. The numerical simulation result shows that parameters of gradient exponent m and top strength S of FGS columns have a remarkable effect on the crashing behavior indicators such as critical load angle, energy absorption (EA) and peak crash force (PCF). To optimize the crashworthiness of the FGS columns, multi-objective optimization based on surrogate model of Radial Basis Function (RBF) and algorithm of Non-dominated Sorting Genetic Algorithm II (NSGA-II) are performed. To effectively consider the load angle uncertainty effect and obtain a more robust design, four schemes are employed to evaluate the comprehensive crashworthiness with different weight coefficient distributions. The result shows that all the Pareto fronts of FGS columns indicate considerably better crashworthiness compared to that of the counterpart uniform strength (US) columns. The consistent optimization result under different evaluation schemes not only provide guidance for the FGS column design, but also declare a good robustness for Pareto designs obtained by multi-objective optimization design (MOD) optimization. Finally, the obtained Pareto fronts of FGS columns are obviously found to consist of two parts. The first part contains the columns that possess gradient exponent ranging from 0 to 3 with top strength keeping a constant value near 480 MPa. The second part consists of the columns that possess gradient exponent keeping constants close to 0 with the top strength ranging from 700 to 950 MPa. This optimum results is different from that only obtained from pure axial crushing analyze in the previous researches and shows a better reference for engineering practice.
机译:在本文中,研究了一种新推出的由热冲压高强度钢制成的薄壁结构的耐撞性,该薄壁结构具有功能梯度强度(FGS),即沿轴向方向以特定梯度变化的壁强度。在非线性有限元模式LS_DYNA下,对FGS柱在轴向压碎和倾斜冲击载荷下均进行了全面研究。数值模拟结果表明,FGS柱的梯度指数m和顶部强度S参数对临界载荷角,能量吸收(EA)和峰值冲击力(PCF)等碰撞行为指标具有显着影响。为了优化FGS色谱柱的耐撞性,基于径向基函数(RBF)替代模型和非主导排序遗传算法II(NSGA-II)的算法进行了多目标优化。为了有效地考虑载荷角不确定性影响并获得更可靠的设计,采用了四种方案来评估具有不同权重系数分布的综合耐撞性。结果表明,与对应的统一强度(US)色谱柱相比,FGS色谱柱的所有帕累托前沿都显示出更好的耐撞性。不同评估方案下一致的优化结果不仅为FGS色谱柱设计提供了指导,而且为通过多目标优化设计(MOD)优化获得的帕累托设计声明了良好的鲁棒性。最后,显然发现获得的FGS柱的Pareto前沿由两部分组成。第一部分包含具有从0到3的梯度指数的列,其最高强度将恒定值保持在480 MPa附近。第二部分由具有梯度指数的列组成,这些常数保持接近0的常数,最高强度范围为700到950 MPa。该最佳结果不同于以往研究中仅通过纯轴向破碎分析获得的最佳结果,并为工程实践提供了更好的参考。

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