首页> 外文期刊>Journal of Spacecraft and Rockets >Ares I Vehicle Computed Turbulent Ascent Aerodynamic Data Development and Analysis
【24h】

Ares I Vehicle Computed Turbulent Ascent Aerodynamic Data Development and Analysis

机译:Ares I车辆计算的湍流上升空气动力学数据的开发和分析

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

An overview of the computational ascent aerodynamic data development from a Reynolds-averaged Navier-Stokes flow solver for the Ares I vehicle design is presented. The computed results are assessed for grid and turbulence model effects and verified against the results obtained from other flow solvers. The numerical predictions are analyzed for the surface pressure, sectional line loads, longitudinal aerodynamic and rolling moment coefficients, and their trends with respect to angle of attack, Mach number, and the vehicle's roll angle. The results revealed that the solution development with the Spalart-AUmaras turbulence model was the most robust, stable, and efficient These predictions were generally found to compare well with experimental data. Relative to wind-tunnel flow conditions, the results at flight Reynolds number showed the largest reduction of about 7% in the computed longitudinal aerodynamic coefficients. Protuberance size and relative position were found to have a significant effect on the vehicle's force and moment coefficients. The strake concept was proposed and shown to reduce the vehicle's maximum rolling moment coefficient Results and analyses have demonstrated the feasibility of the present numerical method, as an engineering tool, for predicting the external flow aerodynamic characteristics of this class of vehicle designs.
机译:概述了用于Ares I车辆设计的雷诺平均Navier-Stokes流量求解器计算出的上升空气动力学数据的发展。对计算结果进行网格和湍流模型效果评估,并对照从其他流动求解器获得的结果进行验证。分析了数值预测的表面压力,剖面线载荷,纵向空气动力学和侧倾力矩系数,以及它们相对于迎角,马赫数和车辆侧倾角的趋势。结果表明,使用Spalart-AUmaras湍流模型开发的解决方案是最可靠,最稳定和最有效的。这些预测通常可以与实验数据进行比较。相对于风洞流条件,飞行雷诺数的结果表明,所计算的纵向空气动力学系数最大降低了7%。发现突起的大小和相对位置对车辆的力和力矩系数有重要影响。提出并提出了减振概念,以减小车辆的最大侧倾力矩系数。结果和分析表明,作为工程工具,本数值方法可用于预测此类车辆设计的外流空气动力特性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号