Noise predictions for a supersonic business jet using advanced take-off procedures

被引:15
|
作者
Berton, J. J. [1 ]
Jones, S. M. [1 ]
Seidel, J. A. [1 ]
Huff, D. L. [1 ]
机构
[1] NASA, John H Glenn Res Ctr, Cleveland, OH 44135 USA
来源
AERONAUTICAL JOURNAL | 2018年 / 122卷 / 1250期
关键词
Noise; aircraft performance; supersonic transports;
D O I
10.1017/aer.2018.6
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Supersonic civil aircraft present a unique noise certification challenge. High specific thrust required for supersonic cruise results in high engine exhaust velocity and high levels of jet noise during take-off. Aerodynamics of thin, low-aspect-ratio wings equipped with relatively simple flap systems deepen the challenge. Advanced noise reduction procedures have been proposed for supersonic aircraft. These procedures promise to reduce certification noise levels, but they may require departures from normal reference procedures defined in noise regulations. The subject of this article is a take-off performance and noise assessment of a notional supersonic business jet. Analytical models of an airframe and a supersonic engine derived from a contemporary subsonic turbofan core are developed. These models are used to predict take-off trajectories and certification noise levels. Results indicate advanced take-off procedures are helpful in reducing noise along lateral sidelines.
引用
收藏
页码:556 / 571
页数:16
相关论文
共 50 条
  • [11] Multiple discipline take-off weight minimization for a supersonic transport aircraft
    Herrmann, U.
    NEW RESULTS IN NUMERICAL AND EXPERIMENTAL FLUID MECHANICS VI, 2007, 96 : 137 - 144
  • [12] World's most powerful jet set for take-off
    不详
    PROFESSIONAL ENGINEERING, 2003, 16 (09) : 14 - 14
  • [13] WARM UP PAD FOR HARRIER VERTICAL TAKE-OFF JET
    不详
    REFRACTORIES JOURNAL, 1969, (DEC): : 374 - &
  • [14] COMPARISON OF THE TAKE-OFF NOISE CHARACTERISTICS OF THE CARAVELLE JET AIRLINER AND OF CONVENTIONAL PROPELLER-DRIVEN AIRLINERS
    MILLER, LN
    BERANEK, LL
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1957, 29 (11): : 1169 - 1179
  • [15] An explainable machine learning approach to improve take-off time predictions
    Dalmau, Ramon
    Ballerini, Franck
    Naessens, Herbert
    Belkoura, Seddik
    Wangnick, Sebastian
    JOURNAL OF AIR TRANSPORT MANAGEMENT, 2021, 95
  • [16] Aircraft Class Recognition based on Take-off Noise Patterns
    Sanchez Perez, Luis Alejandro
    Pastor Sanchez-Fernandez, Luis
    Suarez-Guerra, Sergio
    COMPUTACION Y SISTEMAS, 2016, 20 (04): : 799 - 825
  • [17] Cardiac magnetic resonance based ablation procedures: ready for take-off?
    Sommer, Philipp
    Mont, Lluis
    EUROPACE, 2019, 21 (01): : 5 - 6
  • [18] Dynamic behavior of an agricultural power take-off driveline for rattle noise reduction: Part 1. Effect of spline tolerance on the power take-off rattle noise
    Choi, Chanho
    Ahn, Hyoungjong
    Park, Young-Jun
    Kim, Su-chul
    Yu, Jihun
    JOURNAL OF TERRAMECHANICS, 2021, 98 : 7 - 14
  • [19] Cleared for take-off: structure and strategy in the low fare airline business
    Mason, K
    JOURNAL OF AIR TRANSPORT MANAGEMENT, 2003, 9 (01) : 69 - 70
  • [20] Cleared for Take-off: Structure and Strategy in the Low Fare Aviation Business
    Whitelegg, Drew
    JOURNAL OF TRANSPORT HISTORY, 2005, 26 (02): : 125 - 129