Damage Identification in Beam Structure Based on Thresholded Variance of Normalized Wavelet Scalogram
IOP Conference Series: Materials Science and Engineering 2017
Rims Janeliukštis, Sandris Ručevskis, Miroslaw Wesolowski, Andris Čate

In this paper, a damage identification algorithm based on continuous wavelet transform of one-dimensional structures exploiting mode shapes is presented. Numerical models of aluminium and carbon composite beams, containing a mill-cut and impact damage, respectively are considered for this study. Wavelet scalogram is used to obtain the transform coefficients at different wavelet scales and is subsequently normalized in order to emphasize locations with largest coefficients. Variance of normalized wavelet scalogram is computed along the axis of the beam yielding sharp peaks in the zones corresponding to damage in beams. This operation excludes wavelet scale factors as variables for damage localization problems. The universal threshold is applied to filter out lower amplitude peaks that do not indicate damage. These results are summed up for all nodes of beams and all wavelet functions that are analysed in this paper in order to also exclude the number of different wavelet functions as another variable for damage localization. The universal threshold is applied the second time to yield the final result on the locations of damage. Results suggest that the proposed damage localization method is a fast and reliable tool for damage detection in one-dimensional metal and composite beam structures.


Atslēgas vārdi
beam; damage; wavelet; scalogram; variance; threshold
DOI
10.1088/1757-899X/251/1/012089
Hipersaite
http://iopscience.iop.org/article/10.1088/1757-899X/251/1/012089/meta

Janeliukštis, R., Ručevskis, S., Wesolowski, M., Čate, A. Damage Identification in Beam Structure Based on Thresholded Variance of Normalized Wavelet Scalogram. IOP Conference Series: Materials Science and Engineering, 2017, Vol.251: 3rd International Conference on Innovative Materials, Structures and Technologies (IMST 2017), 1.-9.lpp. ISSN 1757-8981. e-ISSN 1757-899X. Pieejams: doi:10.1088/1757-899X/251/1/012089

Publikācijas valoda
English (en)
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