Aircraft Noise Emission Model Accounting for Aircraft Flight Parameters

被引:40
作者
Zellmann, C. [1 ]
Schaeffer, B. [1 ]
Wunderli, J. M. [1 ]
Isermann, U. [2 ]
Paschereit, C. O. [3 ]
机构
[1] Empa, Swiss Fed Labs Mat Sci & Technol, Lab Acoust Noise Control, Uberlandstr 129, CH-8600 Dubendorf, Switzerland
[2] German Aerosp Ctr, DLR, Inst Aerodynam & Flow Technol, Bunsenstr 10, D-37073 Gottingen, Germany
[3] Berlin Univ Technol, Inst Fluid Dynam & Tech Acoust, Muller Breslau Str 8, D-10623 Berlin, Germany
来源
JOURNAL OF AIRCRAFT | 2018年 / 55卷 / 02期
关键词
PREDICTION;
D O I
10.2514/1.C034275
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Today's aircraft noise calculation programs either use simple sound source descriptions with few input parameters or highly sophisticated models with input parameters, which are difficult to obtain. To fill the gap between these two approaches, an aircraft noise emission model based on regression of measured noise with aircraft flight parameters is presented. To find a reasonable compromise between the degree of detail and number of required flight parameters, an extensive data exploration was conducted. The most relevant parameters were incorporated in two multiple linear regression models, one for airframe and one for engine noise sources. An iterative method allowed fitting both regression models to aircraft flyover measurements. In total, aircraft noise emission models for 19 aircraft types were established, which underlines the general applicability of the modeling approach to turbofan-powered aircraft. Example comparisons between measurements and model predictions for two aircraft types revealed that the model accurately reproduces directivity and spectra for different flight configurations. In addition, it is suitable for the assessment and optimization of noise abatement procedures.
引用
收藏
页码:682 / 695
页数:14
相关论文
共 50 条
  • [11] Calculation of the Civil Aircraft Wing Characteristics in Critical Flight Modes
    Bosnyakov, S. M.
    Bosnyakov, I. S.
    Matyash, S., V
    Mikhailov, S., V
    Volkov, A. V.
    HIGH-ENERGY PROCESSES IN CONDENSED MATTER (HEPCM 2020), 2020, 2288
  • [12] Characterizing distinct components of tactical aircraft noise sources
    Van Komen, David F.
    Harker, Blaine M.
    Neilsen, Tracianne B.
    Gee, Kent L.
    Swift, S. Hales
    Wall, Alan T.
    Downing, J. Micah
    James, Michael M.
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2020, 147 (05) : 3550 - 3564
  • [13] Multi-disciplinary simulation of propeller-turboprop aircraft flight
    Filippone, A.
    Mohamed-Kassim, Z.
    AERONAUTICAL JOURNAL, 2012, 116 (1184) : 985 - 1014
  • [14] Evaluation of Key Performance of Aircraft Fabric Rubber Seal During Flight
    Fu, Yutong
    Dong, Yifeng
    JOURNAL OF AIRCRAFT, 2021, 58 (05): : 1154 - 1167
  • [15] Aircraft turbulence and gust identification using simulated in-flight data
    Balatti, Davide
    Khodaparast, Hamed Haddad
    Friswell, Michael I.
    Manolesos, Marinos
    Castrichini, Andrea
    AEROSPACE SCIENCE AND TECHNOLOGY, 2021, 115 (115)
  • [16] Interplay of unsteady aerodynamics and flight dynamics of transport aircraft in icing conditions
    Ignatyev, D. I.
    Khrabrov, A. N.
    Kortukova, A., I
    Alieva, D. A.
    Sidoryuk, M. E.
    Bazhenov, S. G.
    AEROSPACE SCIENCE AND TECHNOLOGY, 2020, 104
  • [17] Numerical Method for Aeroelastic Simulation of Flexible Aircraft in High Maneuver Flight Based on Rigid-Flexible Model
    Chen, Shuang
    He, Pengzhen
    Tian, Shuling
    APPLIED SCIENCES-BASEL, 2025, 15 (08):
  • [18] Influence of secondary damage on flight cycles and inspection interval for an aircraft wing panel
    Srivastava, Amit Kumar
    Arora, P. K.
    Srivastava, Sharad Chandra
    JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2020, 42 (06)
  • [19] The Dynamic Prediction Method for Aircraft Cabin Temperatures Based on Flight Test Data
    Li, He
    Zhang, Jianjun
    Cai, Liangxu
    Li, Minwei
    Fu, Yun
    Hao, Yujun
    AEROSPACE, 2024, 11 (09)
  • [20] Applications of the unsteady vortex-lattice method in aircraft aeroelasticity and flight dynamics
    Murua, Joseba
    Palacios, Rafael
    Graham, J. Michael R.
    PROGRESS IN AEROSPACE SCIENCES, 2012, 55 : 46 - 72