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Low-fidelity method for rapid aerostructural optimisation and design-space exploration of planar wings

机译:快速空气结构优化和平面翼设计空间探索的低保真方法

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摘要

During early phases of wing design, analytic and low-fidelity methods are often used to identify promising design concepts. In many cases, solutions obtained using these methods provide intuition about the design space that is not easily obtained using higher-fidelity methods. This is especially true for aerostructural design. However, many analytic and low-fidelity aerostructural solutions are limited in application to wings with specific planforms and weight distributions. Here, a numerical method for minimising induced drag with structural constraints is presented that uses approximations that apply to unswept planar wings with arbitrary planforms and weight distributions. The method is applied to the National Aeronautics and Space Administration (NASA) Ikhana airframe to show how it can be used for rapid aerostructural optimisation and design-space exploration. The design space around the optimum solution is visualised, and the sensitivity of the optimum solution to changes in weight distribution, structural properties, wing loading and taper ratio is shown. The optimum lift distribution and wing-structure weight for the Ikhana airframe are shown to be in good agreement with analytic solutions. Whereas most modern high-fidelity solvers obtain solutions in a matter of hours, all of the solutions shown here can be obtained in a matter of seconds.
机译:在翼设计的早期阶段,分析和低保真方法通常用于确定有前途的设计概念。在许多情况下,使用这些方法获得的解决方案提供了关于不容易使用更高保真方法获得的设计空间的直觉。对于空气结构设计尤其如此。然而,许多分析和低保真气动结构解决方案在应用于具有特定平面型和重量分布的翼的应用中受到限制。这里,提出了一种用于最小化具有结构约束的感应拖动的数值方法,其使用近似,该近似适用于具有任意平面型和权重分布的未扫描平面翼。该方法适用于美国国家航空航天局(NASA)Ikhana Airframe,以展示如何用于快速气动化优化和设计空间探索。最佳解决方案周围的设计空间被可视化,并且显示了最佳解决方案对重量分布,结构性,机翼装载和锥度的变化的灵敏度。 IKHANA机身的最佳提升分布和翼式结构重量均与分析解决方案吻合良好。虽然大多数现代高保真溶剂在几小时内获得解决方案,但这里所示的所有解决方案都可以在几秒钟内获得。

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