A Rapid Distortion Theory modified turbulence spectra for semi-analytical airfoil noise prediction

Wind energy expansion is worldwide followed by various limitations, i.e. land availability, the NIMBY (not in my backyard) attitude, interference on birds migration routes and so on. This undeniable expansion is pushing wind farms near populated areas throughout the years, where noise regulation is more stringent. That demands solutions for the wind turbine (WT) industry, in order to produce quieter WT units. Focusing in the subject of airfoil noise prediction, it can help the assessment and design of quieter wind turbine blades. Considering the airfoil noise as a composition of many sound sources, and in light of the fact that the main noise production mechanisms are the airfoil self-noise and the turbulent inflow (TI) noise, this work is concentrated on the latter. TI noise is classified as an interaction noise, produced by the turbulent inflow, incident on the airfoil leading edge (LE). Theoretical and semi-empirical methods for the TI noise prediction are already available, based on Amiet’s broadband noise theory. Analysis of many TI noise prediction methods is provided by this work in the literature review, as well as the turbulence energy spectrum modeling. This is then followed by comparison of the most reliable TI noise methodologies, qualitatively and quantitatively, with the error estimation, compared to the Ffowcs Williams-Hawkings solution for computational aeroacoustics. Basis for integration of airfoil inflow noise prediction into a wind turbine noise prediction code is the final goal of this work.

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Road Traffic Noise Prediction Model

PARIPEX-INDIAN JOURNAL OF RESEARCH ◽

10.15373/22501991/apr2014/34 ◽

2012 ◽

Vol 3 (4) ◽

pp. 110-112

Author(s):

Rahul Singh ◽

◽

Parveen Bawa ◽

Ranjan Kumar Thakur

Keyword(s):

Prediction Model ◽

Road Traffic ◽

Traffic Noise ◽

Road Traffic Noise ◽

Noise Prediction

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Decision Feedback Equalizer with Frequency Domain Bidirectional Noise Prediction for MIMO-SCFDE System

IEICE Transactions on Communications ◽

10.1587/transcom.2016ebp3198 ◽

2017 ◽

Vol E100.B (3) ◽

pp. 433-439 ◽

Cited By ~ 1

Author(s):

Zedong XIE ◽

Xihong CHEN ◽

Xiaopeng LIU ◽

Lunsheng XUE ◽

Yu ZHAO

Keyword(s):

Frequency Domain ◽

Decision Feedback ◽

Decision Feedback Equalizer ◽

Noise Prediction

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Single-Carrier Layered Space-Frequency Equalization with Time Domain Noise-Prediction for MIMO Systems

IEICE Transactions on Communications ◽

10.1587/transcom.e93.b.1897 ◽

2010 ◽

Vol E93-B (7) ◽

pp. 1897-1905

Author(s):

Ang FENG ◽

Qinye YIN ◽

Le DING

Keyword(s):

Time Domain ◽

Mimo Systems ◽

Noise Prediction ◽

Single Carrier ◽

Space Frequency

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Revisiting the pressure-strain correlation model with the aid of the rapid distortion theory

Proceedings of the Sixth International Symposium On Turbulence, Heat and Mass Transfer ◽

10.1615/ichmt.2009.turbulheatmasstransf.2360 ◽

2009 ◽

Author(s):

Song Fu ◽

S.-Y. Hung

Keyword(s):

Correlation Model ◽

Rapid Distortion Theory

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Application of the Boundary Element Method and Modal Analysis to Tire Acoustics Problems

Tire Science and Technology ◽

10.2346/1.2139524 ◽

1993 ◽

Vol 21 (2) ◽

pp. 66-90 ◽

Cited By ~ 10

Author(s):

Y. Nakajima ◽

Y. Inoue ◽

H. Ogawa

Keyword(s):

Finite Element ◽

Boundary Element Method ◽

Boundary Element ◽

Acoustic Radiation ◽

Traffic Noise ◽

Noise Prediction ◽

Prediction System ◽

Tire Noise ◽

Acoustic Contribution ◽

Element Method

Abstract Road traffic noise needs to be reduced, because traffic volume is increasing every year. The noise generated from a tire is becoming one of the dominant sources in the total traffic noise because the engine noise is constantly being reduced by the vehicle manufacturers. Although the acoustic intensity measurement technology has been enhanced by the recent developments in digital measurement techniques, repetitive measurements are necessary to find effective ways for noise control. Hence, a simulation method to predict generated noise is required to replace the time-consuming experiments. The boundary element method (BEM) is applied to predict the acoustic radiation caused by the vibration of a tire sidewall and a tire noise prediction system is developed. The BEM requires the geometry and the modal characteristics of a tire which are provided by an experiment or the finite element method (FEM). Since the finite element procedure is applied to the prediction of modal characteristics in a tire noise prediction system, the acoustic pressure can be predicted without any measurements. Furthermore, the acoustic contribution analysis obtained from the post-processing of the predicted results is very helpful to know where and how the design change affects the acoustic radiation. The predictability of this system is verified by measurements and the acoustic contribution analysis is applied to tire noise control.

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