FLULA2: Aircraft noise prediction and measurements

1999 ◽  
Vol 105 (2) ◽  
pp. 1065-1065 ◽  
Author(s):  
Georg Thomann ◽  
Rudolf Buetikofer
Keyword(s):  
Aircraft Noise ◽  
Noise Prediction

Tradeoff of Airframe Noise and Field Length in Conceptual Design of Airliner

2013 ◽  
Vol 295-298 ◽  
pp. 2026-2029 ◽  
Author(s):  
Manandhar Ashish ◽  
Shuai Zhang ◽  
Xiong Qing Yu
Keyword(s):  
Conceptual Design ◽  
Noise Level ◽  
Aircraft Noise ◽  
Noise Prediction ◽  
Noise Levels ◽  
Wing Area ◽  
Airframe Noise ◽  
Prediction Program ◽  
Noise Signature

The purpose of this paper is to present a tradeoff study of airframe noise and field length due to wing area and flap setting configuration during conceptual design. The aircraft takeoff and landing length is predicted by the Matlab synthesis code for airliner conceptual design. The NASA’s Aircraft Noise Prediction Program (ANOPP) is used to evaluate the airframe noise signature. It is found that: (1) with the increase in wing area both the landing and takeoff field length will be reduced, and approach noise decreases whereas the takeoff noise increases; (2) with the increase in flap setting from 50 to 200, both landing and takeoff field length reduces but the noise level increases during takeoff and decreases during the approach. The results can help designers to select suitable values of wing area and flap setting to meet both the requirements of field length and noise levels.

scholarly journals Prediction of Aircraft Noise Impact with Application to Hong Kong International Airport

Aerospace ◽  
2021 ◽  
Vol 8 (9) ◽  
pp. 264
Author(s):  
Chunhui Wu ◽  
Stephane Redonnet
Keyword(s):  
Hong Kong ◽  
Research Effort ◽  
Real Life ◽  
Aircraft Noise ◽  
Noise Power ◽  
Noise Prediction ◽  
Operational Conditions ◽  
International Airport ◽  
Noise Impact ◽  
Hong Kong International Airport

As part of a collective research effort towards greener aviation, the present study focuses on the noise impact of aircraft operations around major airports. To this end, an aircraft noise prediction platform is developed, which relies on state-of-the-art functionalities as well as more specific, innovative features. Originally built upon the Aircraft Noise and Performance (ANP) database and its Noise–Power–Distance (NPD) table, the method is further refined to alleviate most of their inherent limitations (e.g., standardized and simplified aircraft noise scenarios). The resulting aircraft noise prediction platform is validated against benchmark cases of increasing complexity, being then applied to real-life situations involving actual aircraft operations around Hong Kong International Airport (HKIA). Specific comparative analyses are conducted, which allow highlighting the variability of the noise impact by aircraft, depending on their type (A330, B777) and/or operational conditions (power settings, meteorological conditions, routes, banks, etc.). The study delivers insightful outcomes, whether phenomenological (aircraft noise impact) or methodological (aircraft noise prediction). As a by-product, it illustrates how noise prediction methods/platforms such as the present one may help in guiding the further expansion of airport operations and/or infrastructures (as is currently the case with HKIA).

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