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Robust Optimization of Variable-Camber Continuous Trailing-Edge Flap Static Aeroelastic Action

机译:可变弯度连续后缘襟翼静态气弹作用的鲁棒优化

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摘要

A robust optimization method is described in this paper, focusing on the optimization of a variable-camber continuous trailing-edge flap system for drag reduction in transonic cruise. The variable-camber continuous trailingedge flap, through the rich combination of shapes it can attain, has the potential to provide greater design and operation freedom than conventional flap systems as well as greater efficiency in drag reduction and performance improvement. The deformation shape optimization of such a system, however, when based on rigorous computational fluid dynamics simulations, presents a significant computational challenge because of the high cost of repetitive analyses required. The construction of surrogate models and their use in the optimization process is one common way to tackle this challenge. Here, stochastic kriging is used, extending the commonly used deterministic kriging. Accounting for the intrinsic uncertainty of data, stochastic kriging and the optimization based on it are well suited for addressing uncertain flight conditions as well as math modeling limitations. An optimization process for the variable-camber continuous trailing-edge flap system that couples shape synthesis with high-fidelity aerodynamic simulations, accounting for static aeroelastic interactions and load distribution constraints, is presented. A potential for robust optimal drag subject to flight Mach number uncertainties is shown.
机译:本文介绍了一种鲁棒的优化方法,重点是优化变腔连续后缘襟翼系统以优化跨音速巡航的阻力。可变弯度的连续后缘襟翼通过其可获得的形状的丰富组合,具有提供比常规襟翼系统更大的设计和操作自由度的潜力,以及在减少阻力和提高性能方面的更高效率。然而,当基于严格的计算流体动力学模拟时,这种系统的变形形状优化由于需要重复分析的高成本而提出了重大的计算挑战。替代模型的构建及其在优化过程中的使用是应对这一挑战的一种常用方法。在这里,使用随机克里金法,扩展了常用的确定性克里金法。考虑到数据的固有不确定性,随机克里金法以及基于数据的优化,非常适合解决不确定的飞行条件以及数学建模的局限性。提出了一种变腔连续后缘襟翼系统的优化过程,该过程将形状合成与高保真空气动力学仿真相结合,并考虑了静态空气弹性相互作用和载荷分布约束。显示了受到飞行马赫数不确定性影响的鲁棒最优阻力的潜力。

著录项

  • 来源
    《AIAA Journal》 |2017年第3期|1031-1043|共13页
  • 作者

    Liu Yan; Bai Junqiang; Livne Eli;

  • 作者单位

    Northwestern Polytech Univ, Sch Aeronaut, Xian 710072, Peoples R China|Univ Washington, Dept Aeronaut & Astronaut, Seattle, WA 98195 USA;

    Northwestern Polytech Univ, Sch Aeronaut, Xian 710072, Peoples R China;

    Univ Washington, Aeronaut & Astronaut, Seattle, WA 98195 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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