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Multi-objective optimization of deployable composite cylindrical thin-walled hinges with progressive damage

机译:具有渐进损伤的可展开复合圆柱薄壁铰链的多目标优化

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摘要

The deployable composite cylindrical thin-walled (DCCTW) hinges have application prospects as deployable structures of satellite and solar array, but the mechanical characteristics of the DCCTW hinges have not been considered comprehensively. Taking progressive damage into consideration, the mechanical properties of DCCTW hinges have been reassessed, and a new optimal design method is presented in this paper. Firstly, a simplified model of DCCTW hinge was established. Both analytical and numerical analyses of the simplified model have been conducted. Secondly, the finite element (FE) method has been used to analyze the folding and torsional behavior of DCCTW hinge based on progressive damage theory. Thirdly, design of experiment (DOE) has been carried out using optimal Latin hypercube sampling method. The surrogate model has been established based on the DOE process and elliptical basis functions (EBF). Sensitivity analysis of mass, peak moment of folding, torsional failure angle, and peak moment of torsion have been conducted. Lastly, considering lightweight, the higher peak moment of folding and torsion, the optimization was implemented by multi-objective particle swarm optimization (MOPSO) algorithm, two different optimal designs of DCCTW hinge have been obtained at the same time. The maximum relative error between FE analysis results and optimal design results with the surrogate model is 7.46%, which also reflects the accuracy of the surrogate model. The proposed optimization method can be applied to optimize other composite flexible hinges in consideration of progressive damage.
机译:可展开的复合圆柱薄壁(DCCTW)铰链具有作为卫星和太阳能阵列的可展开结构的应用前景,但DCCTW铰链的机械特性未被全面地考虑。考虑渐进损伤,已重新评估DCCTW铰链的机械性能,本文提出了一种新的最佳设计方法。首先,建立了一种简化的DCCTW铰链模型。已经进行了简化模型的分析和数值分析。其次,有限元(Fe)方法已经用于分析基于渐进损伤理论的DCCTW铰链的折叠和扭转行为。第三,使用最佳拉丁超立体采样方法进行了实验(DOE)的设计。代理模型已经基于DOE过程和椭圆形基函数(EBF)建立。已经进行了折叠,扭转故障角度和扭转高峰时段的质量敏感性分析。最后,考虑轻量级,折叠和扭转的高峰时刻,优化通过多目标粒子群优化(MOPSO)算法来实现,同时获得了两种不同的DCCTW铰链的最佳设计。 Fe分析结果与替代模型的最佳设计结果之间的最大相对误差为7.46%,也反映了代理模型的准确性。考虑到逐步损害,可以应用所提出的优化方法来优化其他复合柔性铰链。

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