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Strength design of composite beam using gradient and particle swarm optimization

机译:基于梯度和粒子群算法的组合梁强度设计

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摘要

This work addresses the optimum design of a composite box-beam structure subject to strength constraints. Such box-beams are used as the main load carrying members of helicopter rotor blades. A computationally efficient analytical model for box-beam is used. Optimal ply orientation angles are sought which maximize the failure margins with respect to the applied loading. The Tsai-Wu-Hahn failure criterion is used to calculate the reserve factor for each wall and ply and the minimum reserve factor is maximized. Ply angles are used as design variables and various cases of initial starting design and loadings are investigated. Both gradient-based and particle swarm optimization (PSO) methods are used. It is found that the optimization approach leads to the design of a box-beam with greatly improved reserve factors which can be useful for helicopter rotor structures. While the PSO yields globally best designs, the gradient-based method can also be used with appropriate starting designs to obtain useful designs efficiently.
机译:这项工作解决了受强度约束的复合箱梁结构的最佳设计。这种箱形梁用作直升机旋翼桨叶的主要载荷构件。使用盒梁的计算有效分析模型。寻求最佳的帘布层定向角度,该角度可使相对于所施加载荷的破坏余量最大化。 Tsai-Wu-Hahn破坏准则用于计算每个墙和板层的预留系数,并且最小预留系数已最大化。帘布层角度用作设计变量,并研究了各种初始启动设计和载荷的情况。同时使用了基于梯度的方法和粒子群优化(PSO)方法。发现优化方法导致了箱形梁的设计,该箱形梁的储备系数大大提高,这对直升机旋翼结​​构很有用。虽然PSO产生了全球最佳的设计,但是基于梯度的方法也可以与适当的初始设计一起使用,以有效地获得有用的设计。

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