基于航迹分割的航空器噪声预测模型

doi:10.7527/S1000-6893.2013.0474

ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2014, Vol. 35 ›› Issue (4): 1102-1110.doi: 10.7527/S1000-6893.2013.0474

• Electronics and Control • Previous Articles Next Articles

Aircraft Noise Prediction Model Based on Flight Track Segmentation

DING Jianli^1,2, ZHOU Lei¹

1. School of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300, China;
2. Information Technology Research Base of Civil Aviation Administration of China, Civil Aviation University of China, Tianjin 300300, China

Received:2013-06-19 Revised:2013-11-26 Online:2014-04-25 Published:2014-01-16
Supported by:
National Natural Science Foundation of China (61139002); National High-tech Research and Development Program of China (2012AA063301); Science and Technology Projects of Civil Aviation Administration of China (MHRD201006, MHRD201101); The Fundamental Research Funds for the Central Universities (3122013P013)

Abstract

Abstract:

To predict aircraft noise according to aircraft tracks, the aircraft tracks are divided into two basic track elements based on their geometric characteristics, i.e. the straight line tracks and the curve line tracks, and then the noise contribution of the straight line track and the curve line track are calculated respectively for their area of influence. After a statistical treatment of the noise impact on all segments of the track monitoring points, the noise finally comes together to affect the entire track segment monitoring points. Thus an aircraft track noise prediction model is established in this paper. Compared with similar prediction software and the actual monitoring data, the predicted average noise values of the present model are relatively accurate, and the predicted noise peak values are more accurate.

Key words: flight track, aircraft noise, noise intensity, prediction model, noise prediction

CLC Number:

V19
TB533

DING Jianli, ZHOU Lei. Aircraft Noise Prediction Model Based on Flight Track Segmentation[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014, 35(4): 1102-1110.

References

[1] Qian B H, Zhang Y F. Airport planning and environmental protection[M]. Beijing: China Architecture & Building Press, 2000: 139-140. (in Chinese) 钱炳华, 张玉芬. 机场规划设计与环境保护[M]. 北京: 中国建筑工业出版社, 2000: 139-140.

[2] Brueckner J K, Girvin R. Airport noise regulation, airline service quality, and social welfare[J]. Transportation Research Part B: Methodological, 2008, 42(1): 19-37.

[3] Cohen J P, Coughlin C C. Spatial hedonic models of airport noise, proximity, and housing prices[J]. Journal of Regional Science, 2008, 48(5): 859-878.

[4] Thomas C S, Hume K I, Hooper P D. Aircraft noise, airport growth and regional development, AIAA-2004-2806. Reston: AIAA, 2004.

[5] Department for Transport. The future development of air transport in the United Kingdom: south east[M]. London: Crown, 2002: 1-40.

[6] Jandl B, Rokitansky C H. Prediction of noise exposure levles using simulated flight trajectories[J]. Digital Avinoics Systems Conference, 2011: 3E4-1-3E4-13.

[7] Ministry of Environment Protection. GB 9660—88 Standard of aircraft noise for environment around airport[S]. 1988. (in Chinese) 国家环境保护局. GB 9660—88机场周围飞机噪声环境标准[S]. 1988.

[8] Ministry of Environment Protection. GB9661—88 Measurement of aircraft noise around airport[S]. 1988. (in Chinese) 国家环境保护局. GB9661—88机场周围飞机噪声测量方法[S]. 1988.

[9] Li Y W, Zhang H J, Wang Y W, et al. Airport aviation noise prediction and methods for improvement[J]. Environmental Science and Management, 2008, 33(4): 167-169. (in Chinese) 李玉文, 张海军, 王英伟, 等. 机场航空噪声预测及方法改进[J]. 环境科学与管理, 2008, 33(4): 167-169.

[10] Liu Z L, He X. Airport aviation noise testing and evaluation methods[J]. Periodical of Ocean University of China, 2006, 36(4): 660-664. (in Chinese) 刘占良, 赫旭. 机场航空噪声监测与评价方法[J]. 中国海洋大学学报, 2006, 36(4): 660-664.

[11] Li X Y, Tao Y H. A large civil transport airplane noise flight path and its simulation[J]. Aircraft Design, 2008, 28(3): 45-49. (in Chinese) 李晓勇, 陶嫣红. 大型民用运输机噪声航迹及其仿真研究[J]. 飞机设计, 2008, 28(3): 45-49.

[12] Zaporozhets O I, Tokarev V I. Aircraft noise modeling for environmental assessment around airports[J]. Applied Acoustics, 1998, 55(2): 99-127.

[13] Ionescu A C, Dumitrescu H. Aircraft noise modeling and noise perception through CDA procedure, the impact on communities, AIAA-2009-3399. Reston: AIAA, 2009.

[14] Farassat F, Casper J H. Towards an airframe noise prediction methodology: survey of current approaches, AIAA-2006-0210[J]. Reston: AIAA, 2006.

[15] Girvin R. Aircraft noise-abatement and mitigation strategies[J]. Journal of Air Transport Management, 2009, 15(1): 14-22.

[16] Wang C, Xiao H H. Study on instrument flight procedures noise prediction based on 4D trajectory operation simulation//2010 International Conference on Computer Application and System Modeling, 2010, 3: 330-334.

[17] Li X, Chen G D, Lu L. Spatial interpolation methods[J]. Advance in Earth Sciences, 2000, 15(3): 260-265. (in Chinese) 李新, 陈国栋, 卢玲. 空间内插方法比较[J]. 地球科学进展, 2000, 15(3): 260-265.

Aircraft Noise Prediction Model Based on Flight Track Segmentation

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	YAN Liming, ZHAO Dongdong, JIAO Ningfei. Robust model based-predictive torque control of aviation AC induction motor [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(9): 324700-324700.
[2]	QIAO Dianfeng, LIANG Yan, ZHANG Huixia, ZHAO Pengjiao. Automatic backtracking-based refined segment recognition of maneuvering target track [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(4): 524744-524744.
[3]	JIA Beixi, LYU Zhenzhou, LEI Jingyu. Parameterized simulation platform of turbine cooling film blade life reliability analysis [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(12): 224747-224747.
[4]	ZHENG Wei, CHEN Huaihai. Inverse multi-step prediction model method for MIMO random vibration test control [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020, 41(2): 223000-223000.
[5]	SU Donglin, ZHENG Haopeng. A boundary extension method for empirical mode decomposition end effect [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(3): 960-969.
[6]	YANG Juntan, LI Yunlong, WANG Xiaojun, QIU Zhiping. An Optimization Approach for Mass Reduction and Noise Dampening of Aircraft Closed Chamber [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014, 35(9): 2491-2499.
[7]	Wang Liyuan;Guo Jilian;Zhang Hengxi. Application of Hierarchical Partial Least Squares Regression to Development Cost Prediction of Aircraft [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2009, 30(8): 1380-1384.
[8]	Guo Yangming;Jiang Hongmei;Zhai Zhengjun. Adaptive Multi-parameter Prediction Model Based on Grey Theory [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2009, 30(5): 925-931.
[9]	Qiao Weiyang;Ulf Michel. Experimental Study of Airframe Noise with Improved Data Reduction Method of Microphone Array Measurements [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2008, 29(3): 527-533.
[10]	Qiao Weiyang;Tang Diyi;Li Wenlan. STUDY OF THE THICKNESS NOISE OF HELICOPTER ROTORS BASED ON THE COLLAPSING SPHERE METHOD [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 1997, 18(1): 71-74.
[11]	Yin Jianping;Hu Zhangwei. PREDICTION OF ROTOR BLADE VORTEX INTERACTION NOISE FROM MEASURED UNSTEADY SURFACE PRESSURE OF BLADE [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 1996, 17(5): 87-89.
[12]	Li Xiaodong;Sun Xiaofeng;Hu Zongan;Zhou Sheng. A NEW IMPROVED MEAN SURFACE METHOD FOR SUBSONIC PROPWLLER NOISE PREDICTION [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 1994, 15(7): 769-773.
[13]	Wang Chong;Sun Zhaohui;Hou Hong;Sun Jincai. ACTIVE CONTROL OF SOUND RADIATED FROM AN AIRPLANE PANEL [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 1994, 15(6): 720-724.
[14]	Qiao Wei-yang (Faculty 0;Northwestern Polytechnical University;Xi'an;00. A NUMERICAL PREDICTION METHOD FOR THE NEAR-FIELD HARMONIC NOISE OF PROP-FAN [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 1993, 14(6): 254-262.
[15]	Li Wen-Ian;Tang Di-yi;Qiao Wei-yang;Liu Zhen-xia. PREDICTION AND ANALYSIS OF AIRCRAFT NOISE [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 1993, 14(10): 496-499.