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Rotor Loads Prediction Using Helios: A Multisolver Framework for Rotorcraft Aeromechanics Analysis

机译:使用Helios进行转子载荷预测:旋翼航空力学分析的多求解器框架

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摘要

This paper documents the prediction of UH-60A Black Hawk aerodynamic loading using the multisolver Computational Fluid Dynamics/Computational Structural Dynamics analysis framework for rotorcraft Helios for a range of critical steady forward flight conditions. Comparisons with available flight test data are provided for all of the predictions. The Helios framework combines multiple solvers and multiple grid paradigms (unstructured and adaptive Cartesian) such that the advantages of each paradigm is preserved. Further, the software is highly automated for execution and designed in a modular fashion to minimize the burden on both the users and developers. The technical approach presented herein provides details of all of the participant modules and the interfaces used for their integration into the software framework. The results composed of sectional aerodynamic loading and wake visualizations are presented. Solution-based adapative mesh refinement, a salient feature of the Helios framework, is explored for all flight conditions and comparisons are provided for both aerodynamic loading and vortex wake structure with and without adaptive mesh refinement.
机译:本文记录了针对旋翼飞机Helios的多求解器计算流体动力学/计算结构动力学分析框架在一系列关键稳定向前飞行条件下对UH-60A黑鹰气动载荷的预测。针对所有预测提供了与可用的飞行测试数据的比较。 Helios框架结合了多个求解器和多个网格范例(非结构化和自适应笛卡尔坐标),从而保留了每个范例的优势。此外,该软件高度自动化以执行,并以模块化方式设计,以最大程度地减轻用户和开发人员的负担。本文介绍的技术方法提供了所有参与者模块和用于将其集成到软件框架中的接口的详细信息。提出了由截面空气动力载荷和尾流可视化组成的结果。探索了基于解决方案的自适应网格细化,这是Helios框架的显着特征,适用于所有飞行条件,并提供了具有和不具有自适应网格细化的空气动力学载荷和涡流尾迹结构的比较。

著录项

  • 来源
    《Journal of Aircraft》 |2013年第2期|478-492|共15页
  • 作者单位

    University of Wyoming, Laramie, Wyoming 82071;

    U.S. Army Aeroflightdynamics Directorate, Moffett Field, California 94035;

    U.S. Army Aeroflightdynamics Directorate, Moffett Field, California 94035;

    NASA Ames Research Center, Moffett Field, California 94035;

    NASA Ames Research Center, Moffett Field, California 94035;

    University of Wyoming, Laramie, Wyoming 82071;

    Advanced Rotorcraft Technology, Inc., Sunnyvale, California 94085;

  • 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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