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首页> 外文期刊>Composite Structures >Designing foam filled sandwich panels for blast mitigation using a hybrid evolutionary optimization algorithm
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Designing foam filled sandwich panels for blast mitigation using a hybrid evolutionary optimization algorithm

机译：使用混合进化优化算法设计泡沫填充夹芯板以减轻爆炸危险

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摘要

Developing sandwich structures with high energy absorption capability is important for shock loading applications. In the present study, a hybrid evolutionary optimization technique based on Multi-Island Genetic Algorithm and Hooke-Jeeves Algorithm is used in the design stage of the sandwich structures to obtain effective results. Optimum parameters of cell geometry were investigated using the hybrid optimization algorithm to design foam filled sandwich panels for three main boundary conditions. Shock tube experiments were conducted in order to simulate the shock load effects along with 3D and 2D finite element analysis. Using the experimental results, a simulation-based design optimization approach was prepared and used to develop the designs of new sandwich structures. Promising results were obtained for all three different boundary conditions. In the simply supported case, 21% improvement of shock absorption was achieved by using 57% less volume of foam with respect to the original fully foam filled sandwich panel. In the clamped-clamped case, 16% improvement of shock absorption with 52% less volume was obtained. In the rigid base case study, 6% improvement of shock absorption with 38% less volume usage was achieved. The structures developed in this study will be of use in the defense, automotive and other industries. (C) 2016 Published by Elsevier Ltd.
机译：开发具有高能量吸收能力的三明治结构对于冲击载荷应用很重要。本研究在三明治结构的设计阶段采用了基于多岛遗传算法和胡克-吉夫斯算法的混合进化优化技术。使用混合优化算法研究了泡孔几何结构的最佳参数，以设计用于三个主要边界条件的泡沫填充夹芯板。为了模拟3D和2D有限元分析的冲击载荷效应，进行了冲击管实验。利用实验结果，准备了基于仿真的设计优化方法，并将其用于开发新的三明治结构的设计。对于所有三个不同的边界条件，都获得了令人鼓舞的结果。在简单支撑的情况下，相对于原始的完全填充泡沫的夹芯板，通过减少57％的泡沫体积，可将减震性能提高21％。在夹紧的情况下，减震效果提高了16％，体积减小了52％。在刚性基础案例研究中，减震效果提高了6％，体积使用量减少了38％。本研究开发的结构将用于国防，汽车和其他行业。 （C）2016由Elsevier Ltd.出版

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