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High-Fidelity Aerodynamic Design Optimization of Aircraft Configurations.

机译:飞机结构的高保真气动设计优化。

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摘要

With increasing fidelity and efficiency of numerical simulations, it becomes possible to rely on computational simulations and optimization to achieve a better aircraft design. One of the most computationally intensive disciplines is the aircraft external aerodynamic design. Computational fluid dynamics based on Reynold-averaged Navier--Stokes equations is necessary to accurately resolve the flow field in order to achieve a practical design. High-fidelity CFD poses difficulties to numerical optimization due to its high computational cost, especially when large number of shape design variables are used. This thesis presents an approach to compute the gradients of Reynold-averaged Navier--Stokes equation equations with a Spalart--Allmaras turbulence model using a combination of the adjoint method and automatic differentiation algorithms, for use in gradient-based aerodynamic shape optimization. The resulting gradients are accurate, robust, and efficient. With this state-of-the-art Reynolds-averaged Navier--Stokes adjoint and aerodynamic shape optimization framework, we performed three high-fidelity aerodynamic design optimization studies in this thesis. The wing of a Boeing 777-sized aircraft is optimized for single and multiple flight conditions. The drag coefficient is minimized with respect to 720 shape design variables, subject to lift, pitching moment, and geometric constraints, using grids with up to 28.8M cells. Drag coefficient of the optimized design was reduced by 8.5% relative to the initial design. The second application is to optimize the aerodynamics of a near-term aircraft retrofit modification: a wing with morphing trailing edge. A drag reduction in the order of 1% is achieved for on-design conditions, and reductions up to 5% were achieved for off-design conditions. Finally, we extend the aerodynamic shape optimization studies to design an unconventional configuration, the blended-wing-body aircraft. The best compromise between performance and stability was achieved by enforcing a small static margin that can be tolerated in a commercial airplane (1%) and including the center of gravity position as a design variable. This resulted in a trimmed configuration that exhibits a nearly elliptical lift distribution and the lowest drag among the trimmed stable designs. This was achieved by a combination of optimized washout and reflex airfoils.
机译:随着数值模拟的逼真度和效率的提高,依靠计算模拟和优化来实现更好的飞机设计成为可能。计算最密集的学科之一是飞机外部空气动力学设计。基于雷诺平均Navier-Stokes方程的计算流体动力学对于准确地解析流场是必不可少的,以实现实用的设计。高保真CFD的计算成本高,尤其是在使用大量形状设计变量时,给数值优化带来了困难。本文提出了一种将Spalart-Allmaras湍流模型与伴随方法和自动微分算法结合使用来计算雷诺平均Navier-Stokes方程的梯度的方法,该方法可用于基于梯度的空气动力学形状优化。所得的梯度是准确,稳健和有效的。利用这个最新的雷诺平均Navier-Stokes伴随和空气动力学形状优化框架,我们在本文中进行了三项高保真空气动力学设计优化研究。一架波音777尺寸飞机的机翼针对单次和多次飞行条件进行了优化。使用具有多达28.8M单元的网格,相对于720个形状设计变量,其阻力系数被最小化,该变量受升力,俯仰力矩和几何约束的影响。与初始设计相比,优化设计的阻力系数降低了8.5%。第二个应用是优化近期飞机改装的空气动力学:后缘变形的机翼。在设计时的条件下,阻力降低了1%左右,在非设计时的条件下,阻尼降低了5%。最后,我们扩展了空气动力学形状优化研究,以设计非常规配置的混合翼体飞机。性能和稳定性之间的最佳折衷是通过在商用飞机上施加小的静态余量(1%)并将重心位置作为设计变量来实现的。这导致了修整后的结构,该结构在修整后的稳定设计中表现出近乎椭圆的升力分布,并且阻力最小。这是通过优化冲洗和反射翼型的组合来实现的。

著录项

  • 作者

    Lu Zhoujie;

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  • 年度 2014
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  • 原文格式 PDF
  • 正文语种 en_US
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