The Prediction of Structure-Borne Sound Transmission and the Radiated Underwater Sound Power at Medium Frequency

碩士 === 國立海洋大學 === 造船工程學系 === 84 === The predictions of low frequency ship structure vibration are usually done by finite element method . For higher frequency range of vibration ,in the audible range of human ears , is termed as struc...

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Main Authors: Liou, Shang-Wei, 劉翔瑋
Other Authors: Shyu Rong-Juin
Format: Others
Language:zh-TW
Published: 1996
Online Access:http://ndltd.ncl.edu.tw/handle/97548067917747883588
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spelling ndltd-TW-084NTOU03450072016-07-13T04:10:44Z http://ndltd.ncl.edu.tw/handle/97548067917747883588 The Prediction of Structure-Borne Sound Transmission and the Radiated Underwater Sound Power at Medium Frequency 中頻結構噪音傳遞及輻射至水中噪音之預估 Liou, Shang-Wei 劉翔瑋 碩士 國立海洋大學 造船工程學系 84 The predictions of low frequency ship structure vibration are usually done by finite element method . For higher frequency range of vibration ,in the audible range of human ears , is termed as structural borne sound . And its predictions are usually done by energy method. In this frequency range , modal density is higher . For ship structure, the frequency range can be predicted by is abover 2 KHz. Whereas the upper frequency limit can be predicted by finite element method is around 100 to 200 Hz for ship structures. Therefore , in the frequency range from 200 to 2KHz , a prediction model is needed . In this study , the combination of energy method and finite element method will be used to predict vibration in these frequency range. The finite element method will be used first to determine the input power and coupling loss factor for the energy mode . Then , the prediction will be made by energy method. The prediction will be compared with the actual measurement from a model ship structure to improve the accuracy of the prediction. Shyu Rong-Juin 許榮均 1996 學位論文 ; thesis 80 zh-TW
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language zh-TW
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description 碩士 === 國立海洋大學 === 造船工程學系 === 84 === The predictions of low frequency ship structure vibration are usually done by finite element method . For higher frequency range of vibration ,in the audible range of human ears , is termed as structural borne sound . And its predictions are usually done by energy method. In this frequency range , modal density is higher . For ship structure, the frequency range can be predicted by is abover 2 KHz. Whereas the upper frequency limit can be predicted by finite element method is around 100 to 200 Hz for ship structures. Therefore , in the frequency range from 200 to 2KHz , a prediction model is needed . In this study , the combination of energy method and finite element method will be used to predict vibration in these frequency range. The finite element method will be used first to determine the input power and coupling loss factor for the energy mode . Then , the prediction will be made by energy method. The prediction will be compared with the actual measurement from a model ship structure to improve the accuracy of the prediction.
author2 Shyu Rong-Juin
author_facet Shyu Rong-Juin
Liou, Shang-Wei
劉翔瑋
author Liou, Shang-Wei
劉翔瑋
spellingShingle Liou, Shang-Wei
劉翔瑋
The Prediction of Structure-Borne Sound Transmission and the Radiated Underwater Sound Power at Medium Frequency
author_sort Liou, Shang-Wei
title The Prediction of Structure-Borne Sound Transmission and the Radiated Underwater Sound Power at Medium Frequency
title_short The Prediction of Structure-Borne Sound Transmission and the Radiated Underwater Sound Power at Medium Frequency
title_full The Prediction of Structure-Borne Sound Transmission and the Radiated Underwater Sound Power at Medium Frequency
title_fullStr The Prediction of Structure-Borne Sound Transmission and the Radiated Underwater Sound Power at Medium Frequency
title_full_unstemmed The Prediction of Structure-Borne Sound Transmission and the Radiated Underwater Sound Power at Medium Frequency
title_sort prediction of structure-borne sound transmission and the radiated underwater sound power at medium frequency
publishDate 1996
url http://ndltd.ncl.edu.tw/handle/97548067917747883588
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