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
  • [1] Estimation of Flight-Phase-Specific Jet Aircraft Parameters for Noise Simulations
    Schwab, Olivier
    Zellmann, Christoph
    JOURNAL OF AIRCRAFT, 2020, 57 (06): : 1111 - 1120
  • [2] Aircraft noise: Accounting for changes in air traffic with time of day
    Schaeffer, Beat
    Buetikofer, Rudolf
    Pluess, Stefan
    Thomann, Georg
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2011, 129 (01) : 185 - 199
  • [3] Uncertainty Quantification for Aircraft Noise Emission Simulation: Methods and Limitations
    Roemer, Ulrich
    Bertsch, Lothar
    Mulani, Sameer B.
    Schaffer, Beat
    AIAA JOURNAL, 2022, 60 (05) : 3020 - 3034
  • [4] A Hybrid Model for Aircraft Type Determination Following Flight Cancellation
    Pineda, Pedro Jose Gudiel
    Hsu, Chao-Che
    Liou, James J. H.
    Lo, Huai-Wei
    INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2018, 17 (04) : 1147 - 1172
  • [5] Control of In-Flight Aircraft Condition
    Evdokimenkov V.N.
    Kim R.V.
    Galenkov A.A.
    Russian Engineering Research, 2020, 40 (07): : 589 - 592
  • [6] Aircraft Flight Vibration Prediction Technology
    Wang Guanglu
    Xu Ming
    Li Dapeng
    PROCEEDINGS OF 2010 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON AEROSPACE TECHNOLOGY, VOL 1 AND 2, 2010, : 892 - 895
  • [7] Aircraft descent performance based on flight data
    Hall, C. A.
    Burnell, S. R.
    Deshpande, A. P.
    AERONAUTICAL JOURNAL, 2021, 125 (1293) : 1897 - 1916
  • [8] Theoretical Framework for the Simulation of Transport Aircraft Flight
    Filippone, Antonio
    JOURNAL OF AIRCRAFT, 2010, 47 (05): : 1679 - 1696
  • [9] Multi-Aircraft Dynamic Continuous Descent Approach Methodology for Low-Noise and Emission Guidance
    Alam, S.
    Nguyen, M. H.
    Abbass, H. A.
    Lokan, Chris
    Ellejmi, M.
    Kirby, S.
    JOURNAL OF AIRCRAFT, 2011, 48 (04): : 1225 - 1237
  • [10] A physics-based PSO-BPNN model for civil aircraft noise assessment
    Feng, Hao
    Zhou, Yadong
    Zeng, Weili
    Guo, Wentao
    APPLIED ACOUSTICS, 2024, 221