A Semi-Empirical Model for Aircraft Landing Gear Noise Prediction

Guo, Yueping

doi:10.2514/6.2006-2627

Cited by 20 publications

(44 citation statements)

References 16 publications

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“…However, the model does attempt to incorporate as much physics as possible to reduce configuration dependence, but it does not eliminate empiricism. It should be noted that this method compares very well with full-scale landing gear measurements 16,17 and is considered an improvement over existing semi-empirical prediction capabilities for full-scale 777 and 737 gear predictions.…”

Section: B Anopp Guo Methodsmentioning

confidence: 99%

“…One method was developed by Fink,4,5 the other by Sen et al 22 , which has been improved by Guo 16,17,18 in recent years. Both methods predict one-third octave band noise for the wing and landing gear components.…”

Section: Anopp Landing Gear Noise Prediction Methodsmentioning

confidence: 99%

“…S t 0 was determined by analyzing full-scale test data. 17 The Strouhal number S t is determined using the characteristic length scale associated with the frequency range for which F is being evaluated. The characteristic length scale for the low frequency component spectrum is the wheel diameter; whereas, the characteristic length scale for the mid and high frequency component spectra are computed using the aggregate surface area parameter (S), an average length, and an empirical scale factor.…”

Section: B Anopp Guo Methodsmentioning

confidence: 99%

“…Interest in landing gear noise subsided in the 1980's, but has gained increased interest since the late 1990's with the experimental work of Dobrzynski et al 6,7,8 , Michel et al 9 , Jaeger, et al 10 , Horne et al 11 , Stoker et al 12 , Humphreys et al 13 and the advanced modeling work of Smith et al 14 , Molin et al 15 , Guo 16,17,18 and computational aeraocoustic methods of Hedges et al 19 , Seror et al 20 , and Lockard et al 21 The experimental work has provided much needed data to advance the understanding of the noise generation mechanisms and to characterize the directivity of the radiated noise leading to the improvement and validation of prediction capabilities. The computational aeroacoustic methods are still too inefficient (although much progress has been made) to be included in a system capability such as ANOPP.…”

Section: Introductionmentioning

confidence: 99%

“…The computational aeroacoustic methods are still too inefficient (although much progress has been made) to be included in a system capability such as ANOPP. However, the newer, although still semi-empirical, landing gear models of Guo 16,17,18 are appropriate and have been shown to compare well with measured full-scale data obtained in flight and wind tunnel testing 17 . The prediction models of Guo have been implemented within ANOPP as they become available.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

ANOPP Landing Gear Noise Prediction Comparisons to Model-Scale Data

Burley

Brooks

Humphreys

et al. 2007

13th AIAA/CEAS Aeroacoustics Conference (28th AIAA Aeroacoustics Conference)

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Section: B Anopp Guo Methodsmentioning

confidence: 99%

Section: Anopp Landing Gear Noise Prediction Methodsmentioning

confidence: 99%

Section: B Anopp Guo Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

ANOPP Landing Gear Noise Prediction Comparisons to Model-Scale Data

Burley

Brooks

Humphreys

et al. 2007

13th AIAA/CEAS Aeroacoustics Conference (28th AIAA Aeroacoustics Conference)

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Aircraft Noise Modeling

Zhang

Gill

Angland

2016

Encyclopedia of Aerospace Engineering

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Aircraft noise exerts an adverse influence on the environment and on people's health, and is also a performance issue. The aircraft noise problem is a complex topic that covers a number of areas, including passenger cabin and cockpit noise, ramp noise, structure‐borne noise, propulsive system noise, jet noise, airframe noise, etc., each of which requires separate modeling and mitigation treatments. These noise sources can be studied by a variety of approaches, including analytical, experimental, simulation, and modeling. Nowadays, high‐fidelity simulations, high‐fidelity scale model tests, and flight tests play increasingly important roles in aircraft design and noise assessment. However, empirical, semiempirical, and physics‐based modeling methods can still play an important role in assessment and optimization processes. These methods can be accurate, efficient, and cost‐effective. Their reliability is often based on the theory of aerodynamic sound generation, scaling laws, and correlation with wind tunnel and flight tests. This chapter introduces several models that describe the noise generated by key aircraft components such as high‐lift devices, landing gears, and rotors. Methods reviewed include semiempirical methods, component‐based methods, physics‐based methods, and analytical methods.

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Airframe Noise–Landing Gear Noise

Dobrzynski

2010

Encyclopedia of Aerospace Engineering

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Noise originating from flow around aircraft landing gears is one of the major components of aircraft noise in the approach phase. Owing to the complex structure of landing gears, they represent a cluster of aerodynamic noise sources that are difficult to deal with for the purpose of noise reduction. Moreover, a variety of safety and operational constraints must be considered. Landing gear noise intensity increases proportionally to the 6th power of flow velocity while the sound frequencies increase linearly with the velocity. Through wind tunnel tests on full‐scale gears, typical noise characteristics (spectrum and directivity) and the noisiest gear components can be identified. On the basis of this knowledge, both noise prediction models and add‐on noise reduction fairings can be developed. Such fairings, to protect complex gear structures from high‐speed inflow, provide the only limited noise reduction potential. Much higher noise benefits can be achieved for new landing gears of future aircraft, when aeroacoustic constraints are introduced as an additional design criterion, thus enabling a low‐noise design of both the overall gear architecture and of individual gear components. On top of that, both passive and active flow control means can be applied locally to gear components for further noise reduction.

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A Semi-Empirical Model for Aircraft Landing Gear Noise Prediction

Cited by 20 publications

References 16 publications

ANOPP Landing Gear Noise Prediction Comparisons to Model-Scale Data

ANOPP Landing Gear Noise Prediction Comparisons to Model-Scale Data

Aircraft Noise Modeling

Airframe Noise–Landing Gear Noise

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