| 摘要(英) |
When it comes to Structure Health Monitoring, we always use the modal parameters to recognize the difference of the output signal. In the past, we used Fourier Transform to decompose the signal, and analyze the frequency spectrum. However, this method may only be suitable to stationary and nonlinear signal. Even though some researcher presented an alternative method called short-time Fourier Transform (STFT) to solve the disadvantage of Fourier Transform, we are not able to know the instantaneous frequency in the signal.
In order to solve the signal involved nonlinear and nonstationary property (earthquake), we used Hilbert-Huang Transform method to deal with it. This method was developed by Dr N, E. Huang in 1998. There are two advantages in this method. First, we don’t need to set the basic function. Second, we can identify the change of the instantaneous frequency. Through the Hilbert-Huang Transform, the signal can be expanded to the distribution of energy in time-frequency domain. We constructed two modal parameters (II,NI)in the time-frequency spectrum to quantify the physical behavior of the structure and use the parameters to monitor the health of the structure.
In this study, we used a finite element software; ABAQUS, to construct a five-floor structure model which has a local damage. Then, used the acceleration from the top of each floors as the original signal to draw the time spectrum. We selected the data from the spectrum and converted it into two modal parameters (II,NI) and a new parameter (DN) to compare the differences of each model. Moreover, to find the relation between the different models and apply this method to the real case of structure health monitoring. |
| 參考文獻 |
[1]劉德俞，「應用希爾伯特-黃轉換方法改進結構系統辨別方法於橋梁震動訊號之研究」，國立中央大學，博士論文，民國100年
[2]Cohen, L., Time-frequency Analysis, Prentice-Hall, New York, USA, December1994
[3]蘇聖中，「結構物強震觀測資料之『希爾伯特-黃』結構健康診斷方法」，國立中央大學，博士論文，民國104年
[4]Chopra, A. K., Dynamics of structures: Theory and applications to earthquake engineering, pp 444-452, Prentice Hall Inc., Englewood Cliffs, N.J,1995
[5]洪達，結構動力學，高點文化，2020年
[6]Brincker Rune, Lingmi Zhangand, Palle Andersen, “Modal, identification of output-only systems using frequency domain Decomposition”, International Seminar on Modal Analysis(ISMA 25), Kathoieke Univeraiteit Leuven, Belguim(2000)
[7]Bendat J S and Piersol A G, “Engineering Applications of Correlation and Spectral Analysis, ”New York:Wiley(1993)
[8]江哲豪，「頻率域分解方法在結構模態參數分析之應用」，國立中央大學，碩士論文，民國94年
[9]ABAQUS 。2021年4月23號，取自https://en.wikipedia.org/wiki/Abaqus
[10]Abaqus 實務入門引導，全華圖書，2007年
[11]Abaqus 進階動力學 by APIC，全華圖書，2007年
[12]邱群翔，「有限元素模型於希爾伯特-黃轉換結構健康監測方法之應用-以不同阻尼為例」，國立中央大學，碩士論文，民國108年6月
[13]希爾伯特-黃轉換 。2021年4月23號取自https://zh.wikipedia.org/wiki/%E5%B8%8C%E7%88%BE%E4%BC%AF%E7%89%B9%E8%BD%89%E6%8F%9B
[14]Huang, N.E., Z.Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N.-C. Yen, C. C. Thung, H. H. Liu. “The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis”, Proc. Roy. Soc. London, Vol. 454A, pp. 903-993, The Royal Society, March 1998
[15]經驗模態分解法 2021年4月23號取自
https://zh.wikipedia.org/wiki/%E7%B6%93%E9%A9%97%E6%A8%A1%E6%85%8B%E5%88%86%E8%A7%A3
[16]Huang, N. E., M. J. Brenner, and L. Salvino, “ Hilbert-Huang Transform Stability Spectral Analysis Applied to Flutter Flight Test Data” ,AIAA journal, Vol.44 issue 4,pp.772-786, American Institute of Aeronautics and Astronautics, April 2006
[17]總體經驗模態分解法 2021年4月23號取自
https://zh.wikipedia.org/wiki/%E5%B8%8C%E7%88%BE%E4%BC%AF%E7%89%B9%E9%BB%83%E8%BD%89%E6%8F%9B#%E7%B8%BD%E9%AB%94%E7%B6%93%E9%A9%97%E6%A8%A1%E6%85%8B%E5%88%86%E8%A7%A3%E6%B3%95(Ensemble_Empirical_Mode_Decomposition)
[18]Wu, Z., and N.E. Huang,“A Study of the characteristics of White Noise Using the Empirical Mode Decomposition Method”,Proc. Roy. Soc. London, Vol. 460A, pp. 1597-1611, The Royal Society, June 2004.
[19]解析訊號 2021 年4月23號取自
https://zh.wikipedia.org/wiki/%E8%A7%A3%E6%9E%90%E4%BF%A1%E5%8F%B7
[20]中央氣象局地震測報中心:集集地震各地震度原始資料。2021年5月25日取自https://scweb.cwb.gov.tw/zhtw/page/iframe?txtUrl=/special/19990921pga.asp
[21]變異係數 2021年5月13號取自https://zh.wikipedia.org/wiki/%E5%8F%98%E5%BC%82%E7%B3%BB%E6%95%B0 |
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