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A robust and reliability-based aeroelastic tailoring framework for composite aircraft wings

机译:稳固且基于可靠性的复合飞机机翼气动弹性剪裁框架

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This paper presents a multi-level aeroelastic tailoring framework for the optimisation of composite aircraft wings. The framework is capable of structural sizing and produces detailed composite ply configurations through robust and reliability-based design optimisation, and is demonstrated on a representative regional jet airliner finite element wing box model. The optimisation procedure is divided into two levels. The first level optimises the wing structure for minimum weight subject to multiple constraints including strain, buckling, aeroelastic stability and gust response. These first level solutions are then fed into the second level to be further optimised for robustness or reliability by considering uncertainties in material properties at ply level. Both the principles of robust and reliability-based design optimisation can also be used in combination to ensure a balance between the robustness and reliability of the structural performance. In order to keep computations to an acceptable cost, the second level optimisation employs the Polynomial Chaos Expansion method to approximate the effect of probabilistic uncertainty on structural performance. In comparison to the original benchmark wing, the framework produces an overall weight reduction of 32.1%, despite a 1.5% increase from the first to the second level optimisation that accounts for stochastic design variations.
机译:本文提出了一种用于优化复合机翼的多层气动弹性剪裁框架。该框架能够进行结构调整,并通过基于稳健性和可靠性的设计优化来生成详细的复合层构架,并在具有代表性的区域喷气客机有限元机翼盒模型上进行了演示。优化过程分为两个级别。第一级优化了机翼结构的最小重量,使其受到多种约束,包括应变,屈曲,气动弹性稳定性和阵风响应。然后,通过考虑层级材料属性的不确定性,将这些第一级解决方案输入第二级,以进一步优化鲁棒性或可靠性。鲁棒性和基于可靠性的设计优化原则也可以结合使用,以确保结构性能的鲁棒性和可靠性之间达到平衡。为了使计算保持可接受的成本,第二级优化采用多项式混沌扩展方法来近似概率不确定性对结构性能的影响。与最初的基准机翼相比,该框架的总体重量减轻了32.1%,尽管从第一级到第二级优化增加了1.5%,这说明了随机设计的变化。

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