Optimal design of multilayered composite plate using bio-inspired optimisation techniques

2011 ◽  
Vol 3 (5) ◽  
pp. 306 ◽  
Author(s):  
M. Amrita ◽  
N. Mohan Rao
Keyword(s):  
Optimal Design ◽  
Composite Plate ◽  
Multilayered Composite ◽  
Optimisation Techniques

scholarly journals Ultrasonic and IR Thermographic Detection of a Defect in a Multilayered Composite Plate

2016 ◽  
Vol 167 ◽  
pp. 71-79 ◽  
Author(s):  
L. Maio ◽  
V. Memmolo ◽  
S. Boccardi ◽  
C. Meola ◽  
F. Ricci ◽  
...  
Keyword(s):  
Composite Plate ◽  
Multilayered Composite

Optimal Design of Laminated Composite Plates for Maximum Buckling Load Using Genetic Algorithm

2005 ◽  
Vol 219 (9) ◽  
pp. 869-878 ◽  
Author(s):  
C. W. Kim ◽  
J. S. Lee
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Uniaxial Compression ◽  
Composite Plate ◽  
Laminated Composite ◽  
Composite Plates ◽  
Buckling Load ◽  
Laminated Composite Plates ◽  
Worst Case ◽  
Case Design

An optimization procedure using a genetic algorithm (GA) is proposed to determine the optimal stacking sequence of laminated composite plates for the maximum buckling load under several different loadings, such as uniaxial compression, shear, biaxial compression, and the combination of shear and biaxial loadings. A series of optimal design is conducted for composite laminates having different aspect ratios, load conditions, and number of plies. Critical buckling load is taken as fitness function and fibre orientations are taken as design variables. A performance index is introduced to represent the effectiveness of optimal design with respect to worst case design. Then, for uniaxial compression loading, postbuckling behaviour is analysed numerically for the optimally designed composite plates as well as the worst case design composite plate. It shows the outstanding postbuckling performance of one of the optimally designed composite plates against the worst case design composite plate. Also, a GA finds the global solution without requiring auxiliary information such as derivatives of the objective function.

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