Ignition of a Composite Cylinder with Plastic Liner

2008 ◽  
pp. 172-172-4
Author(s):  
H Barthélémy
Keyword(s):  
Composite Cylinder ◽  
Plastic Liner

Buckling Testing of a Subscale Composite Cylinder

2021 ◽  
Author(s):  
Michelle T. Rudd ◽  
Marc R. Schultz ◽  
William A. Waters ◽  
Nathaniel W. Gardner ◽  
Chiara Bisagni
Keyword(s):  
Composite Cylinder

Buckling analysis of filament-wound thick composite cylinder under hydrostatic pressure

2010 ◽  
Vol 11 (6) ◽  
pp. 909-913 ◽  
Author(s):  
Myung-Hun Kim ◽  
Jong-Rae Cho ◽  
Won-Byong Bae ◽  
Jin-Hwe Kweon ◽  
Jin-Ho Choi ◽  
...  
Keyword(s):  
Hydrostatic Pressure ◽  
Buckling Analysis ◽  
Composite Cylinder ◽  
Filament Wound

scholarly journals Detection of Material Degradation of a Composite Cylinder Using Mode Shapes and Convolutional Neural Networks

Materials ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6686
Author(s):  
Bartosz Miller ◽  
Leonard Ziemiański
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Composite Structures ◽  
Vibration Mode ◽  
Numerical Study ◽  
Mode Shapes ◽  
Zone Size ◽  
Composite Cylinder ◽  
Material Degradation ◽  
Damaged Zone

This paper presents a numerical study of the feasibility of using vibration mode shapes to identify material degradation in composite structures. The considered structure is a multilayer composite cylinder, while the material degradation zone is, for simplicity, considered a square section of the lateral surface of the cylinder. The material degradation zone size and location along the cylinder axis are identified using a deep learning approach (convolutional neural networks, CNNs, are applied) on the basis of previously identified vibration mode shapes. The different numbers and combinations of identified mode shapes used to assess the damaged zone size and location were analyzed in detail. The final selection of mode shapes considered in the identification procedure yielded high accuracy in the identification of the degradation zone.

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