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Wing planform optimization via an adjoint method.

机译:通过伴随方法优化机翼平面。

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This dissertation focuses on the problem of wing planform optimization for transonic aircraft based on flow simulation using Computational Fluid Dynamics (CFD) combined with an adjoint-gradient based numerical optimization procedure. The adjoint method, traditionally used for wing section design has been extended to cover planform variations and to compute the sensitivities of the structural weight of both the wing section and planform variations. The two relevant disciplines accounted for are the aerodynamics and structural weight. A simplified structural weight model is used for the optimization. Results of a variety of long range transports indicate that significant improvement in both aerodynamics and structures can be achieved simultaneously. The proof-of-concept optimal results indicate large improvements for both drag and structural weight. The work is an "enabling step" towards a realistic automated wing designed by a computer.
机译:本文基于计算流体动力学(CFD),结合基于梯度的数值优化程序,基于流动模拟,对跨音速飞机的机翼平面优化问题进行了研究。传统上用于机翼截面设计的伴随方法已经扩展到涵盖平面形状变化并计算机翼截面和平面形状变化的结构重感度。涉及的两个相关学科是空气动力学和结构重量。使用简化的结构权重模型进行优化。各种长途运输的结果表明,可以同时实现空气动力学和结构上的显着改善。概念验证的最佳结果表明阻力和结构重量都有了很大的提高。这项工作是迈向由计算机设计的逼真的自动机翼的“授权步骤”。

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