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Flow-Induced Noise Prediction for Submarines

잠수함 형상의 유동소음 해석기법 연구

  • Yeo, Sang-Jae (Department of Naval Architecture and Ocean Engineering, Seoul National University) ;
  • Hong, Suk-Yoon (Department of Naval Architecture and Ocean Engineering, Seoul National University) ;
  • Song, Jee-Hun (Department of Naval Architecture and Ocean Engineering, Chonnam National University) ;
  • Kwon, Hyun-Wung (Department of Naval Architecture and Ocean Engineering, Koje College) ;
  • Seol, Hanshin (Korea Research Institute of Ships & Ocean Engineering)
  • 여상재 (서울대학교 조선해양공학과) ;
  • 홍석윤 (서울대학교 조선해양공학과) ;
  • 송지훈 (전남대학교 조선해양공학전공) ;
  • 권현웅 (거제대학교 조선해양공학과) ;
  • 설한신 (한국해양과학기술원 부설 선박해양플랜트연구소)
  • Received : 2018.11.08
  • Accepted : 2018.12.28
  • Published : 2018.12.31

Abstract

Underwater noise radiated from submarines is directly related to the probability of being detected by the sonar of an enemy vessel. Therefore, minimizing the noise of a submarine is essential for improving survival outcomes. For modern submarines, as the speed and size of a submarine increase and noise reduction technology is developed, interest in flow noise around the hull has been increasing. In this study, a noise analysis technique was developed to predict flow noise generated around a submarine shape considering the free surface effect. When a submarine is operated near a free surface, turbulence-induced noise due to the turbulence of the flow and bubble noise from breaking waves arise. First, to analyze the flow around a submarine, VOF-based incompressible two-phase flow analysis was performed to derive flow field data and the shape of the free surface around the submarine. Turbulence-induced noise was analyzed by applying permeable FW-H, which is an acoustic analogy technique. Bubble noise was derived through a noise model for breaking waves based on the turbulent kinetic energy distribution results obtained from the CFD results. The analysis method developed was verified by comparison with experimental results for a submarine model measured in a Large Cavitation Tunnel (LCT).

Acknowledgement

Supported by : 해양시스템공학연구소(RIMSE), 연구재단

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