Skip to main content

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

  • J. J. Berton (a1), S. M. Jones (a1), J. A. Seidel (a1) and D. L. Huff (a1)

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.

Corresponding author
Hide All

A version of this paper was presented at the ISABE 2017 Conference, 3-8 September 2017, Manchester, UK.

Hide All
1.Annex 16 to the convention on international civil aviation, Vol. I: Aircraft noise, International Standards, and Recommended Practices-Environmental Protection, 7th ed., July 2014, International Civil Aviation Organization, Montreal, Canada.
2.Grantham, , W.D. and Smith, P.M. Development of SCR aircraft take-off and landing procedures for community noise abatement and their impact on flight safety, in Supersonic Cruise Research, NASA CP 2108, 1979, pp 299–333.
3.Boeing Commercial Airplanes, High-speed civil transport study, NASA CR-4233, 1989.
4.Society of Automotive Engineers, Method for predicting lateral attenuation of aircraft noise, Aerospace Information Report 5662, April 2006.
5.Berton, J.J. et al. A comparative propulsion system analysis for the high-speed civil transport, NASA TM 2005-213414, 2005.
6.Morgenstern, J. et al. Advanced concept studies for supersonic commercial transports entering service in the 2018-2020 period phase 2, NASA CR 2015-218719, 2015.
7.Claus, R.W. et al. Numerical propulsion system simulation, Computing Systems in Engineering, 1991, 2, (4), pp 357364.
8.NPSS, Numerical propulsion system simulation, Software Package, Ver. 1.6.5, NASA, 2008.
9.Kirby, M.R. and Mavris, D.N. The environmental design space, 26th Congress of International Council of the Aeronautical Sciences (ICAS), 14–19 September, 2008, Anchorage, Alaska, ICAS 2008-4.7.3.
10.Suder, K.L., Prahst, P.S. and Thorpe, S.A. Results of an advanced fan stage operating over a wide range of speed and bypass ratio, part 1: Fan stage design and experimental results, NASA TM-2011-216769, 2011.
11.Welge, H.R. et al. N+2 supersonic concept development and systems integration, NASA CR-2010-216842, 2010.
12.McCullers, L.A. Aircraft configuration optimization including optimized flight profiles, NASA CP-2327, April 1984, pp 396–412.
13.Environmental Technical Manual, Vol. I, procedures for the noise certification of aircraft, International Civil Aviation Organization (ICAO), Committee on Aviation Environmental Protection, 2nd ed., 2015, Document 9501.
14.FAA Docket No. NM26; Special Conditions No. 25-ANM-23, Special Conditions: Airbus Industrie Model A320 Series Airplane, 15 December 1988.
15.FAA Docket No. NM248; Special Conditions No. 25-241-SC, Special Conditions: Embraer Model ERJ-170 Series Airplanes; Electronic Flight Control Systems; Automatic Take-off Thrust Control System, 5 September 2003.
16.Gillian, R.E. Aircraft noise prediction program user's manual, NASA TM-84486, 1983.
17.Zorumski, W.E. Aircraft noise prediction program theoretical manual, Parts 1 and 2, NASA TM-83199, 1982.
18.Stone, J.R., Krejsa, E.A., Clark, B.J. and Berton, J.J. Jet noise modeling for suppressed and unsuppressed aircraft in simulated flight, NASA TM-2009-215524, 2009.
19.Kontos, K.B., Janardan, B. and Gliebe, P.R. Improved NASA-ANOPP noise prediction computer code for advanced subsonic propulsion systems, volume 1: ANOPP evaluation and fan noise model improvement, NASA CR-195480, 1996.
20.Kontos, K.B., Kraft, R.E. and Gliebe, P. R. Improved NASA-ANOPP noise prediction computer code for advanced subsonic propulsion systems, Volume 2: Fan Suppression Model Development, NASA CR-202309, 1996.
21.Emmerling, J.J., Kazin, S.B. and Matta, R.K. Core engine noise control program, Vol. III, Supplement 1-Prediction Methods, FAA RD-74-125, III-I, March 1976.
22.Fink, M.R. Airframe noise prediction method, FAA RD-77-29, March 1977.
23.Dahl, M.D. (Ed), Assessment of NASA's aircraft noise prediction capability, NASA TP-2012-215653, July 2012.
24.Maekawa, Z. Noise reduction by screens, Memoirs of the Faculty of Engineering, Vol. 12, 1966, Kobe University, Kobe, Japan, pp 472479.
25.Society of Automotive Engineers. Standard values of atmospheric absorption as a function of temperature and humidity, Aerospace Recommended Practice 866A, 1975.
26.Chien, C.F. and Soroka, W.W. Sound propagation along an impedance plane, J Sound and Vibration, 1975, 43, (1), pp 920.
27.Embleton, T.F.W., Piercy, J.E. and Daigle, G.A. Effective flow resistivity of ground surfaces determined by acoustical measurements, J Acoustical Society of America, 1983, 74, (4), pp 12391244.
28.Society of Automotive Engineers, Method for predicting lateral attenuation of airplane noise, Aerospace Information Report 5662, 2006.
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

The Aeronautical Journal
  • ISSN: 0001-9240
  • EISSN: 2059-6464
  • URL: /core/journals/aeronautical-journal
Please enter your name
Please enter a valid email address
Who would you like to send this to? *



Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed