NUMERICAL PREDICTION OF AERODYNAMIC NOISE OF LEAKAGE FLOW USING CFD/CAA HYBRID METHOD

S.U. Kang; S.J. Kim; P.S. Ma; Y.H. Seo; R.S. Myong; H. Lee

doi:10.6112/kscfe.2024.29.1.030

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2024 Vol.29, Issue 1 Preview Page Next Page

Original Article

NUMERICAL PREDICTION OF AERODYNAMIC NOISE OF LEAKAGE FLOW USING CFD/CAA HYBRID METHOD CFD/CAA 연계 해석을 이용한 누설 유동의 공력 소음 예측

31 March 2024. pp. 30-44

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Abstract

The high speed flow leaked from cracks in gas pipelines can lead to severe explosion accidents. Therefore, detecting the location of leakage flow early and precisely is important to reduce the damage from leakage flow. The three-dimensional probe array using the acoustic intensity signals is one of the useful leak detection technologies. In this study, the CFD/CAA hybrid method is used to investigate the flow and acoustic characteristics of leakage flow. The features of leakage flow, including turbulence scales, roll-up phenomenon, strong shock waves, and Mach disk are predicted through the large eddy simulation (LES), and the far-field noise is calculated using the Ffowcs Williams-Hawkings (FW-H) acoustic analogy with permeable surfaces. The parametric study is performed in terms of the internal pressure condition in the pipe (10, 30, 50, 100 bar) and the size of leakage hole (5, 8, 10 mm) to analyze the flow and acoustics characteristics of the leakage flow. The strong Mack disk expands widely as the internal pressure and hole size increase while screech tone noise at specific frequency is observed as the internal pressure and hole size decrease. It turns out that overall sound pressure level (OASPL) of leakage flow increases about 15 dB when screech tone noise occurs.

Keywords

누설 유동(Leakage Flow)

공력 소음(Aerodynamic Noise)

전산유체역학(Computational Fluid Dynamics)

전산공력음향학(Computational Aeroacoustics)

대 와류 모사 (Large Eddy Simulation)

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Information

Publisher :Korean Society for Computational Fluids Engineering
Publisher(Ko) :한국전산유체공학회
Journal Title :Journal of Computational Fluids Engineering
Journal Title(Ko) :한국전산유체공학회지
Volume : 29
No :1
Pages :30-44
Received Date : 2023-12-04
Revised Date : 2024-02-06
Accepted Date : 2024-03-03
DOI :https://doi.org/10.6112/kscfe.2024.29.1.030

Journal of Computational Fluids Engineering ISSN:1598-6071(Print) 3022-6252(Online) 한국전산유체공학회지

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