Experimental research on the double-peak characteristic of underwater radiated noise in the near field on top of a submarine

Ning Liu , Sande Wang , Tao Guo , Xiyou Li , Ziyang Yu

Journal of Marine Science and Application ›› 2011, Vol. 10 ›› Issue (2) : 233 -239.

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Journal of Marine Science and Application ›› 2011, Vol. 10 ›› Issue (2) : 233 -239. DOI: 10.1007/s11804-011-1049-2
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Experimental research on the double-peak characteristic of underwater radiated noise in the near field on top of a submarine

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Abstract

The double-peak characteristic of underwater radiated noise in the near field on top of the target submarine was analyzed in depth on the basis of submarine test data on the sea. The contribution of three major noise sources to the radiated noise of a submarine were compared and analyzed, and emphasis was put on the original source, production mechanism, and their correlative characteristics. On the basis of analysis on underwater tracking and pass through characteristics of the target submarine, the double-peak phenomenon was reasonably interpreted. Furthermore, the correctness of the theoretical interpretation was verified adequately in real submarine tests. The double-peak phenomenon indicates that the space distributing character on submarine radiated noise are both asymmetrical with time and space, whereas that is provided with directivity. Studying the double-peak phenomenon in depth has important reference value and meaning in engineering practice for understanding the underwater radiated noise field of submarines.

Keywords

submarine / near field / underwater radiated noise / hydrodynamic noise / double-peak characteristic

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Ning Liu, Sande Wang, Tao Guo, Xiyou Li, Ziyang Yu. Experimental research on the double-peak characteristic of underwater radiated noise in the near field on top of a submarine. Journal of Marine Science and Application, 2011, 10(2): 233-239 DOI:10.1007/s11804-011-1049-2

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References

[1]

Bellan D., Gaggelli A., Pignari S.A. Noise effects in time-domain systems involving three-axial field probes for the measurement of nonstationary radiated emissions. IEEE Transactions on Electromagnetic Compatibility, 2009, 51(1): 55-63

[2]

Fang E., Wang Y. Measurement method for underwater target radiated noise. Journal of Nanjing University of Aeronautics & Astronautics, 2009, 41(2): 16-20

[3]

Li Q., Yuan B., Zhang W. Modeling of ship-radiated noise and its implement of simulator. Ship Science and Technology, 2010, 32(4): 24-26

[4]

Liu Ning (2006). The test and analysis technique research of space distributing characteristic on typical submarine’s radiated noise. Master thesis, Harbin Engineering University, 62–68.

[5]

Meng C., Yang S., Li G. On near field distribution of warship radiated noise. Journal of Naval University of Engineering, 2008, 20(1): 33-38

[6]

Ruiz-Gonzalez A., Meco-Gutierrez M.J., Perez-Hidalgo F., Vargas-Merino F., Heredia-Larrubia J.R. Reducing acoustic noise radiated by inverter-fed induction motors controlled by a new PWM strategy. IEEE Transactions on Industrial Electronics, 2010, 57(1): 120-132

[7]

Wang S., Yang D., Liu N. Investigation of acoustic scale effects and boundary effects for the similitude model of underwater complex shell-structure. Journal of Marine Science and Application, 2007, 6(1): 35-39

[8]

Wang Z., Chen Z., Yu F., Liu W. Warship noise measuring and analyzing, 2004, Beijing: National Defence Industry Press, 55-65

[9]

Yang D., Hu P. Error analysis and correction due to shallow water acoustic focusing in radiated noise measurement. Journal of Vibration and Shock, 2010, 29(1): 43-45

[10]

Zhang Y., Yin L. Application of principal component analysis to ship-radiated noise classification and recognition. Applied Acoustics, 2009, 28(1): 28-32

[11]

Zou C., Chen D., Hua H. Study on characteristics of ship underwater radiation noise. Journal of Ship Mechanics, 2005, 8(1): 91-96

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