A Study on the Wave Velocity of Rayleigh Wave Using Continuous Wavelet Transform

碩士 === 朝陽科技大學 === 營建工程系碩士班 === 98 === Conventional SASW method is used fast Fourier transform to convert time domain signals to frequency domain. Then the frequency-dependent phase angle can be obtained from phase spectrum analysis. But it can be interfered with surrounding noise. This research will...

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Main Authors: Yu-Hsien Wang, 王裕賢
Other Authors: Pei-Hsun Tsai
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/82472344268733449328
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spelling ndltd-TW-098CYUT55120122015-10-13T18:35:38Z http://ndltd.ncl.edu.tw/handle/82472344268733449328 A Study on the Wave Velocity of Rayleigh Wave Using Continuous Wavelet Transform 以連續小波轉換分析土層表面波波速之研究 Yu-Hsien Wang 王裕賢 碩士 朝陽科技大學 營建工程系碩士班 98 Conventional SASW method is used fast Fourier transform to convert time domain signals to frequency domain. Then the frequency-dependent phase angle can be obtained from phase spectrum analysis. But it can be interfered with surrounding noise. This research will develop a time-frequency method to evaluate the velocity of surface wave. The method is used continuous wavelet transform to convert time domain signals to time-frequency domain signal. The velocity of surface wave will be determined from the incoming time of higher energy wave and the distance of two receivers. Because the signal has characteristics of time and frequency domain, the velocity can be expressed a function of frequency. Therefore, the dispersion curve will be evaluated from the analysis. The dispersion curves of a single layer soil, two layers soil and three layers soil are analyzed by the time-frequency meted. For practical application, a experimental test was performed to verify the rationality of the proposed method. From the results of numerical analysis and experiment test, it cam be concluded that the proposed method can evaluate the velocity of surface wave. Pei-Hsun Tsai 蔡佩勳 2010 學位論文 ; thesis 126 zh-TW
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language zh-TW
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sources NDLTD
description 碩士 === 朝陽科技大學 === 營建工程系碩士班 === 98 === Conventional SASW method is used fast Fourier transform to convert time domain signals to frequency domain. Then the frequency-dependent phase angle can be obtained from phase spectrum analysis. But it can be interfered with surrounding noise. This research will develop a time-frequency method to evaluate the velocity of surface wave. The method is used continuous wavelet transform to convert time domain signals to time-frequency domain signal. The velocity of surface wave will be determined from the incoming time of higher energy wave and the distance of two receivers. Because the signal has characteristics of time and frequency domain, the velocity can be expressed a function of frequency. Therefore, the dispersion curve will be evaluated from the analysis. The dispersion curves of a single layer soil, two layers soil and three layers soil are analyzed by the time-frequency meted. For practical application, a experimental test was performed to verify the rationality of the proposed method. From the results of numerical analysis and experiment test, it cam be concluded that the proposed method can evaluate the velocity of surface wave.
author2 Pei-Hsun Tsai
author_facet Pei-Hsun Tsai
Yu-Hsien Wang
王裕賢
author Yu-Hsien Wang
王裕賢
spellingShingle Yu-Hsien Wang
王裕賢
A Study on the Wave Velocity of Rayleigh Wave Using Continuous Wavelet Transform
author_sort Yu-Hsien Wang
title A Study on the Wave Velocity of Rayleigh Wave Using Continuous Wavelet Transform
title_short A Study on the Wave Velocity of Rayleigh Wave Using Continuous Wavelet Transform
title_full A Study on the Wave Velocity of Rayleigh Wave Using Continuous Wavelet Transform
title_fullStr A Study on the Wave Velocity of Rayleigh Wave Using Continuous Wavelet Transform
title_full_unstemmed A Study on the Wave Velocity of Rayleigh Wave Using Continuous Wavelet Transform
title_sort study on the wave velocity of rayleigh wave using continuous wavelet transform
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/82472344268733449328
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