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Optimum design of fatigue-resistant composite laminates using hybrid algorithm

机译:基于混合算法的抗疲劳复合材料层压板的优化设计

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In this study, a fatigue life prediction model termed as Failure Tensor Polynomial in Fatigue (FTPF) is applied to the optimum stacking sequence design of laminated composites under various in-plane cyclic loadings to obtain maximum fatigue life. The validity of the model is investigated with an experimental correlation using the data available in the literature. The correlation study indicates the reliability of FTPF, and its applicability to different composite materials and multidirectional laminates. In the optimization, a hybrid algorithm combining genetic algorithm and generalized pattern search algorithm is used. It is found by test problems that the hybrid algorithm shows superior performance in finding global optima compared to the so far best results in the literature. After the verifications, a number of problems including different design cases are solved, and the optimum designs constituted of discrete fiber angles which give the maximum possible fatigue lives are proposed to discuss. A comparison study is also performed with selected design cases to demonstrate potential advantages of using non-conventional fiber angles in design. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在这项研究中,将疲劳寿命预测模型称为疲劳失效张量多项式(FTPF),用于在各种面内循环载荷下层压复合材料的最佳堆叠顺序设计,以获得最大疲劳寿命。使用文献中的可用数据,通过实验相关性研究了模型的有效性。相关性研究表明FTPF的可靠性,及其在不同复合材料和多向层压板中的适用性。在优化中,使用了混合遗传算法和广义模式搜索算法的混合算法。通过测试问题发现,与迄今为止文献中的最佳结果相比,混合算法在寻找全局最优值方面显示出优越的性能。经过验证,解决了包括不同设计案例在内的许多问题,并提出了由离散纤维角构成的最佳设计,以提供最大可能的疲劳寿命。还对选定的设计案例进行了比较研究,以证明在设计中使用非常规光纤角度的潜在优势。 (C)2017 Elsevier Ltd.保留所有权利。

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