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Summary of the 2008 NASA Fundamental Aeronautics Program Sonic Boom Prediction Workshop

机译:2008 NASA基础航空计划声波轰动预测研讨会的摘要

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摘要

The Supersonics Project of the NASA Fundamental Aeronautics Program organized an internal sonic boom workshop to evaluate near-field sonic-boom prediction capability at the Fundamental Aeronautics Annual Meeting in Atlanta, Georgia, on 8 October 2008. Workshop participants computed sonic-boom signatures for three nonlifting bodies and two lifting configurations. Cone-cylinder, parabolic, and quartic bodies of revolution comprised the nonlifting cases. The lifting configurations were a simple 69 deg delta-wing-body and a complete low-boom transport configuration designed during the High Speed Research Project in the 1990s with wing, body, tail, nacelle, and boundary-layer diverter components. The AIRPLANE, Cart3D, FUN3D, and USM3D flow solvers were employed with the ANET signature propagation tool, output-based adaptation, and a priori adaptation based on freestream Mach number and angle of attack. Results were presented orally at the workshop. This article documents the workshop and results and provides context on previously available and recently developed methods.
机译:NASA基础航空计划的超音速项目在2008年10月8日于乔治亚州亚特兰大举行的基础航空年度会议上组织了一次内部音爆工作坊,以评估近场音爆的预测能力。参加者计算了三个的音爆特征非举升机构和两个举升配置。圆锥圆柱体,抛物线形和四次旋转体构成了非提升情况。升力配置为简单的69度三角翼机体,以及在1990年代的高速研究项目期间设计的完整的低臂运输配置,其中包括机翼,机体,机尾,机舱和边界层分流器组件。 AIRPLANE,Cart3D,FUN3D和USM3D流量求解器与ANET签名传播工具,基于输出的自适应以及基于自由流马赫数和攻角的先验自适应一起使用。结果在研讨会上口头介绍。本文记录了研讨会和结果,并提供了有关先前可用和最近开发的方法的上下文。

著录项

  • 来源
    《Journal of Aircraft》 |2014年第3期|987-1001|共15页
  • 作者单位

    NASA Langley Research Center, Hampton, Virginia 23681;

    NASA Ames Research Center, Moffett Field, California 94035;

    NASA Langley Research Center, Hampton, Virginia 23681;

    NASA Langley Research Center, Hampton, Virginia 23681;

    NASA Ames Research Center, Moffett Field, California 94035;

    NASA Langley Research Center, Hampton, Virginia 23681;

  • 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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