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**Harvard**

Yao, H., Davidson, L., Eriksson, L., Peng, S., Grundestam, O. och Eliasson, P. (2014) *Surface integral analogy approaches for predicting noise from 3D high-lift low-noise wings*.

** BibTeX **

@article{

Yao2014,

author={Yao, Huadong and Davidson, Lars and Eriksson, Lars-Erik and Peng, Shia-Hui and Grundestam, O. and Eliasson, P. E.},

title={Surface integral analogy approaches for predicting noise from 3D high-lift low-noise wings},

journal={Acta Mechanica Sinica},

issn={0567-7718},

volume={30},

issue={3},

pages={326-338},

abstract={Three surface integral approaches of the acoustic analogies are studied to predict the noise from three conceptual configurations of three-dimensional high-lift low-noise wings. The approaches refer to the Kirchhoff method, the Ffowcs Williams and Hawkings (FW-H) method of the permeable integral surface and the Curle method that is known as a special case of the FW-H method. The first two approaches are used to compute the noise generated by the core flow region where the energetic structures exist. The last approach is adopted to predict the noise specially from the pressure perturbation on the wall. A new way to construct the integral surface that encloses the core region is proposed for the first two methods. Considering the local properties of the flow around the complex object-the actual wing with high-lift devices-the integral surface based on the vorticity is constructed to follow the flow structures. The surface location is discussed for the Kirchhoff method and the FW-H method because a common surface is used for them. The noise from the core flow region is studied on the basis of the dependent integral quantities, which are indicated by the Kirchhoff formulation and by the FW-H formulation. The role of each wall component on noise contribution is analyzed using the Curle formulation. Effects of the volume integral terms of Lighthill's stress tensors on the noise prediction are then evaluated by comparing the results of the Curle method with the other two methods.},

year={2014},

keywords={Aero-acoustics, High-lift facilities, Surface integral approaches of acoustic analogy, LARGE-EDDY SIMULATION, TRAILING-EDGE NOISE, KIRCHHOFF SURFACE, TIME, CORRELATIONS, MOVING SURFACES, SOUND, AEROACOUSTICS, FORMULATION, RADIATION, GENERATION, Engineering, Mechanical, Mechanics },

}

** RefWorks **

RT Journal Article

SR Electronic

ID 200810

A1 Yao, Huadong

A1 Davidson, Lars

A1 Eriksson, Lars-Erik

A1 Peng, Shia-Hui

A1 Grundestam, O.

A1 Eliasson, P. E.

T1 Surface integral analogy approaches for predicting noise from 3D high-lift low-noise wings

YR 2014

JF Acta Mechanica Sinica

SN 0567-7718

VO 30

IS 3

SP 326

OP 338

AB Three surface integral approaches of the acoustic analogies are studied to predict the noise from three conceptual configurations of three-dimensional high-lift low-noise wings. The approaches refer to the Kirchhoff method, the Ffowcs Williams and Hawkings (FW-H) method of the permeable integral surface and the Curle method that is known as a special case of the FW-H method. The first two approaches are used to compute the noise generated by the core flow region where the energetic structures exist. The last approach is adopted to predict the noise specially from the pressure perturbation on the wall. A new way to construct the integral surface that encloses the core region is proposed for the first two methods. Considering the local properties of the flow around the complex object-the actual wing with high-lift devices-the integral surface based on the vorticity is constructed to follow the flow structures. The surface location is discussed for the Kirchhoff method and the FW-H method because a common surface is used for them. The noise from the core flow region is studied on the basis of the dependent integral quantities, which are indicated by the Kirchhoff formulation and by the FW-H formulation. The role of each wall component on noise contribution is analyzed using the Curle formulation. Effects of the volume integral terms of Lighthill's stress tensors on the noise prediction are then evaluated by comparing the results of the Curle method with the other two methods.

LA eng

DO 10.1007/s10409-014-0008-y

LK http://dx.doi.org/10.1007/s10409-014-0008-y

OL 30