Statistical energy analysis-based ship cabin noise forecasting method

Abstract

The invention provides a statistical energy analysis-based ship cabin noise forecasting method. The method comprises the steps of 1, preliminarily building a statistical energy analysis-based ship cabin noise forecasting model by utilizing ship drawing data; 2, performing local detail optimization on an emphatically assessed cabin and load region in the built model, and constructing an external auxiliary sound cavity; 3, determining a vibration acceleration load and a sound power load of equipment by utilizing an experimental test; 4, performing calculation by utilizing the experimental test or a formula to determine loss factors in a steel plate and the sound cavity; 5, building a microacoustic analysis model of an outfitting material structure by utilizing a transfer matrix method, and obtaining acoustic parameters of an outfitting material through sound absorption and insulation analysis; 6, setting frequency response analysis as a 1 / 3 octave frequency, and setting a calculation frequency to be 31.5Hz-8kHz; and 7, performing ship cabin noise forecasting analysis by applying statistical energy analysis. The efficiency and precision of ship cabin noise forecasting can be effectively improved; and the method can be applied to ocean platform and ship cabin noise forecasting and control.

Description

technical field [0001] The invention relates to a noise prediction method for a ship cabin, in particular to a noise prediction process for a ship cabin based on statistical energy analysis. Background technique [0002] The use of statistical energy analysis to predict cabin noise has become a relatively mature cabin forecast method. It can divide complex mechanical or acoustic systems into different modal groups, and decompose large systems into several independent sub-groups in a statistical sense. system, rather than precisely determining the response of each mode individually. This method makes full use of the modal density of vibration and sound radiation in the higher frequency band, and is an effective method to solve the wide-band dynamics problems of complex systems; it can reasonably simulate both vibration sound sources and air sound sources, and is also It can reasonably simulate commonly used vibration and noise reduction measures, the definition of acoustic o...

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Problems solved by technology

[0003] Although the statistical energy method has been applied to cabin noise calculations, there is still no detailed and systematic cabin noise prediction process

Some public reports relevant to the present invention mainly contain at present: document 1, the method of ship cabin noise prediction (the 4th phase of ship in August, 2008); document 2, research on the ship cabin noise forecast method based on statistical energy analysis (ship and ship and Ocean Engineering, Volume 32, Issue 4, 2016); Document 3, Ship Noise Forecast and Control Based on Statistical Energy Analysis (Ship and Ocean Engineering, Vol. The advantages and disadvantages of cabin noise prediction, as well as the evaluation effect on real ships, but did not involve the specific cabin noise prediction process; Documents 2 and 3 expounded the basic theory of statistical energy analysis, and briefly explained the cabin noise prediction method, but did not It involves model simplification, cabin division, equipment acoustic cavity construction, etc.

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