TY - JOUR
T1 - A comparison of acoustic far-field prediction methods for turbulent flows
AU - Zhong, Siyang
AU - Zhang, Xin
AU - Huang, Xun
N1 - Funding Information:
https://orcid.org/0000-0001-8235-0706 Zhong Siyang 1 2 Zhang Xin 1 2 Huang Xun 3 1 1 Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong, China 2 HKUST-Shenzhen Research Institute, Shenzhen, China 3 State Key Laboratory of Turbulence and Complex Systems, Aeronautics and Astronautics, College of Engineering, Peking University, Beijing, China Siyang Zhong, Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China. Email: [email protected] 10 2019 18 6-7 579 595 28 1 2019 14 5 2019 29 5 2019 © The Author(s) 2019 2019 SAGE Publications Spurious wave contaminations may occur in the computations of acoustic far-field directivities in turbulent flows with only surface integrations. Two methods could be used to tackle the problem: (1) to take average of the solutions using multiple integration surfaces based on the Ffowcs-Williams and Hawkings equation that was widely applied to various aeroacoustics problems, and (2) to use the generalized sound extrapolation method based on an indirect acoustic variable to filter out the non-acoustic fluctuations in turbulent flows. The performances of the two methods are investigated by applying to the representative broadband airfoil leading edge noise and turbulent jet noise problems. For the Ffowcs-Williams and Hawkings approach, the prediction accuracy is sensitively influenced by the number and location of the integration surfaces. It often requires more than 10 well-configured surfaces to yield a convergent solution compare to the indirect acoustic variable method. The properties of robust and low computation cost of the indirect acoustic variable method suggest that it is potentially useful for the far-field computations of the aeroacoustics problems. Far-field directivity turbulent flow Ffowcs-Williams and Hawkings equation multiple surface averaging indirect acoustic variable National Natural Science Foundation of China https://doi.org/10.13039/501100001809 11772282 Hong Kong Innovation and Technology Commission ref. ITS/386/17FP The Hong Kong Research Grants Council 16203817
Funding Information:
The authors wish to thank Prof. Richard Sandberg from the University of Melbourne for kindly sharing the DNS database for the jet noise.
Publisher Copyright:
© The Author(s) 2019.
PY - 2019/10/1
Y1 - 2019/10/1
N2 - Spurious wave contaminations may occur in the computations of acoustic far-field directivities in turbulent flows with only surface integrations. Two methods could be used to tackle the problem: (1) to take average of the solutions using multiple integration surfaces based on the Ffowcs-Williams and Hawkings equation that was widely applied to various aeroacoustics problems, and (2) to use the generalized sound extrapolation method based on an indirect acoustic variable to filter out the non-acoustic fluctuations in turbulent flows. The performances of the two methods are investigated by applying to the representative broadband airfoil leading edge noise and turbulent jet noise problems. For the Ffowcs-Williams and Hawkings approach, the prediction accuracy is sensitively influenced by the number and location of the integration surfaces. It often requires more than 10 well-configured surfaces to yield a convergent solution compare to the indirect acoustic variable method. The properties of robust and low computation cost of the indirect acoustic variable method suggest that it is potentially useful for the far-field computations of the aeroacoustics problems.
AB - Spurious wave contaminations may occur in the computations of acoustic far-field directivities in turbulent flows with only surface integrations. Two methods could be used to tackle the problem: (1) to take average of the solutions using multiple integration surfaces based on the Ffowcs-Williams and Hawkings equation that was widely applied to various aeroacoustics problems, and (2) to use the generalized sound extrapolation method based on an indirect acoustic variable to filter out the non-acoustic fluctuations in turbulent flows. The performances of the two methods are investigated by applying to the representative broadband airfoil leading edge noise and turbulent jet noise problems. For the Ffowcs-Williams and Hawkings approach, the prediction accuracy is sensitively influenced by the number and location of the integration surfaces. It often requires more than 10 well-configured surfaces to yield a convergent solution compare to the indirect acoustic variable method. The properties of robust and low computation cost of the indirect acoustic variable method suggest that it is potentially useful for the far-field computations of the aeroacoustics problems.
KW - Far-field directivity
KW - Ffowcs-Williams and Hawkings equation
KW - indirect acoustic variable
KW - multiple surface averaging
KW - turbulent flow
UR - http://www.scopus.com/inward/record.url?scp=85075519371&partnerID=8YFLogxK
U2 - 10.1177/1475472X19871525
DO - 10.1177/1475472X19871525
M3 - Journal article
AN - SCOPUS:85075519371
SN - 1475-472X
VL - 18
SP - 579
EP - 595
JO - International Journal of Aeroacoustics
JF - International Journal of Aeroacoustics
IS - 6-7
ER -