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Aerodynamic Design Optimization of a Staggered Rotors Octocopter Based on Surrogate Model

机译:基于代理模型的交错转子八端孔的空气动力学设计优化

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摘要

Improving aerodynamic performance with limited dimensions is becoming more important in the design of muitirotor aircraft. Complex coupling interactions exist between the structural parameters and aerodynamic performance of the double-layer staggered rotor octocopter. This paper develops an integrated aerostructural design optimization approach based on a surrogate model to reduce the high computation cost of computational fluid dynamics (CFD) simulation experiments, where the surrogate model is constructed by using the Latin Hypercube design, and different approximation methods are compared. Aiming to improve the global accuracy of the surrogate model, computer-aided design (CAD) modeling and CFD simulation experiments were carried out according to the sample points designed by the Latin Hypercube method. A radial basis function surrogate model was constructed based on 63 sample points obtained with CFD simulations after comparison with other approximation methods. The optimization for aerodynamic/structural design was formulated and solved by the multiisland genetic algorithm. The results show that the surrogate model has an accurate predictive ability, and the optimal solution obtained from the optimization has a better aerodynamic performance than the samplings. Compared with the initial optimum data, the optimum solution proposed in our study could generate 102.7% more thrust, and the objective function y is improved by 105.1% according to the CFD simulation results. The approximation and optimization approach effectively reduces the cost of many CFD calculations in aircraft design and provides a global prediction for the performance of the octocopter. (C) 2021 American Society of Civil Engineers.
机译:在Muitotor飞机的设计中,提高有限尺寸的空气动力学性能正在变得越来越重要。在双层交错转子八孔的结构参数和空气动力学性能之间存在复杂的耦合相互作用。本文发展了基于代理模型的集成空气结构设计优化方法,以降低计算流体动力学(CFD)仿真实验的高计算成本,其中通过使用拉丁超立方体设计构建代理模型,并比较了不同的近似方法。旨在提高替代模型的全球准确性,根据由拉丁超立方体方法设计的采样点进行计算机辅助设计(CAD)建模和CFD仿真实验。基于与其他近似方法的CFD模拟获得的63个采样点构建径向基函数替代模型。通过多层遗传算法制定和解决了气动/结构设计的优化。结果表明,替代模型具有精确的预测能力,并且从优化获得的最佳解决方案具有比采样更好的空气动力学性能。与初始最佳数据相比,我们研究中提出的最佳解决方案可能会产生102.7%的推力,目标函数Y根据CFD仿真结果提高105.1%。近似和优化方法有效地降低了飞机设计中许多CFD计算的成本,并为八八透视的性能提供了全局预测。 (c)2021年美国土木工程师协会。

著录项

  • 来源
    《Journal of aerospace engineering》 |2021年第4期|04021036.1-04021036.14|共14页
  • 作者单位

    Nanjing Univ Aeronaut & Astronaut State Key Lab Mech & Control Mech Struct Key Lab Fundamental Sci Natl Def Adv Design Techn Singapore 639798 Singapore|Nanyang Technol Univ Nanyang Environm & Water Res Inst Singapore 639798 Singapore;

    Nanjing Univ Aeronaut & Astronaut State Key Lab Mech & Control Mech Struct Key Lab Fundamental Sci Natl Def Adv Design Techn Singapore 639798 Singapore;

    Nanyang Technol Univ Nanyang Environm & Water Res Inst Singapore 639798 Singapore|Nanyang Technol Univ Sch Civil & Environm Engn Singapore 639798 Singapore;

    Nanjing Univ Aeronaut & Astronaut Coll Aerosp Engn Nanjing 210016 Peoples R China;

    Nanjing Univ Aeronaut & Astronaut State Key Lab Mech & Control Mech Struct Key Lab Fundamental Sci Natl Def Adv Design Techn Singapore 639798 Singapore;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Optimization; Genetic algorithm; Octocopter design; Ideal solution;

    机译:优化;遗传算法;八升设计;理想解决方案;

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