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Time-frequency-domain modal identification of ambient vibration structures using Wavelet Transform Numerical example.

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Presentation on theme: "Time-frequency-domain modal identification of ambient vibration structures using Wavelet Transform Numerical example."— Presentation transcript:

1 Time-frequency-domain modal identification of ambient vibration structures using Wavelet Transform Numerical example

2 Natural frequency & damping Frequency Time Cutting slide Frequency domain Time domain Damping Ratios Identification Natural Frequencies Identification

3 Wavelet transform  Continuous wavelet transform (CWT) is defined as convolution operator of signal X(t) and wavelet function : Wavelet function : Complex conjugate of wavelet function : Wavelet transform coefficient : Wavelet scale and translation parameters  Info of time and frequency can be obtained. Relation of wavelet scale and Fourier frequency can be estimated s : Wavelet scale; f F : Fourier frequency f s : Sampling frequency; f  : Central wavelet frequency

4 Wavelet function  The complex Morlet wavelet is commonly used in the CWT: : Fourier transform of complex Morlet wavelet : Fourier frequency and central wavelet frequency

5 Damping & mode shapes  Output displacements of the MDOF system can be decomposed in the structural normalized coordinates  Wavelet transform coefficient of output response:  Mode shape can be estimated via the wavelet coefficients of output displacements at point k and reference point:  Decay envelope and logarithmic decrement can be extracted from this decay envelope and in tern of modulus: and

6 Damped natural frequencies Wavelet transform (Floor1) Frequency domain Wavelet transform (Floor5)  =80s Frequency domain 5.91Hz 9.12Hz 14.02Hz Difficulties in identifying high-order low-dominant frequencnies Difficulties in identifying high-order low-dominant frequencnies due to inflexible resolutions & used smoothing due to inflexible resolutions & used smoothing

7 Refined by bandwidth filtering Filtered at frequency bandwidths Filtered at frequency bandwidths 1) Hz 1) Hz 2) Hz 2) Hz 3) Hz 3) Hz 4) Hz 4) Hz 5) 25-50Hz 5) 25-50Hz

8 Refined wavelet transform Bandwidth 0-20Hz [Bandwidth Hz] [Bandwidth Hz] [Bandwidth Hz] Only 1 st mode dominated f1=1.72Hz f2=5.37Hz f3=8.99Hz Refined and localized by Refined and localized by multiresolution analysis multiresolution analysis Filtered at frequency Filtered at frequency bandwidths bandwidths ( Hz; Hz ( Hz; Hz Hz; Hz; Hz; Hz; 25-50Hz) 25-50Hz) Dominant for mode 1 Dominant for mode 3 Dominant for mode 2

9 Refined wavelet transform [Bandwidth Hz] [Bandwidth Hz] [Bandwidth Hz] f1=1.72Hz f2=5.37Hz f3=8.99Hz Mode 1 Mode 2 Mode 3 [Slide 1] [Slide 2] [Slide 1] [Slide 2] [Slide 1] [Slide 2] 1.76Hz 5.49Hz 8.95Hz Amplitude envelope slop Damped Natural Frequencies (Hz) FEMFDDFDD-RDTWT mode mode mode mode mode


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