Crack identification in functionally graded material framed structures using stationary wavelet transform and neural network

2021 ◽  
Vol 22 (8) ◽  
pp. 657-671
Author(s):  
Nguyen Tien Khiem ◽  
Tran Van Lien ◽  
Ngo Trong Duc
Keyword(s):  
Neural Network ◽  
Wavelet Transform ◽  
Functionally Graded Material ◽  
Functionally Graded ◽  
Crack Identification ◽  
Stationary Wavelet Transform ◽  
Framed Structures ◽  
Graded Material

CRACK IDENTIFICATION IN MULTIPLE CRACKED BEAMS MADE OF FUNCTIONALLY GRADED MATERIAL BY USING STATIONARY WAVELET TRANSFORM OF MODE SHAPES

2019 ◽  
Author(s):  
Tran Van Lien ◽  
Ngo Trong Duc
Keyword(s):  
Wavelet Transform ◽  
Functionally Graded Material ◽  
Functionally Graded ◽  
Theoretical Development ◽  
Mode Shapes ◽  
Crack Identification ◽  
Stationary Wavelet Transform ◽  
Graded Material ◽  
Fgm Beam ◽  
Cracked Beams

This paper presents crack identification in multiple cracked beams made of functionally graded material (FGM) by using stationary wavelet transform (SWT) of mode shapes and taking into account influence of Gaussian noise. Mode shapes are obtained from multiple cracked FGM beam element and spring model of cracks. The theoretical development was illustrated and validated by numerical examples. The investigated results show that crack identification method by using SWT of mode shapes is efficient and realizable.

Material optimization of a cemented tibia tray using functionally graded material

2016 ◽  
Vol 58 (3) ◽  
pp. 260-268 ◽  
Author(s):  
Hassan S. Hedia ◽  
Saad M. Aldousari ◽  
Noha Fouda
Keyword(s):  
Functionally Graded Material ◽  
Functionally Graded ◽  
Material Optimization ◽  
Graded Material
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