Optimum Stacking Sequence Design of Composite Laminates for Maximum Buckling Load Capacity

Author(s):  
Ali Kaveh ◽  
Armin Dadras Eslamlou
2005 ◽  
Author(s):  
Tae-Uk Kim ◽  
In Hee Hwang ◽  
Hyo-Chol Sin

Optimal design of composite laminates with uncertain in-plane loadings and material properties is considered. The stacking sequence is designed to have maximum buckling load based on anti-optimization approach. To consider the above-mentioned uncertain properties, the convex modeling and Monte Carlo simulation techniques are used in calculating objective function. For the stacking sequence optimization, it is used the modified genetic algorithm which handles the discrete ply angles and the constraints easily. Numerical results are given for rectangular laminates of various aspect ratios. The optimal solutions from the deterministic and the stochastic cases are obtained and it is demonstrated the importance of considering uncertainty. The buckling load carried by a deterministic design is much less than the one carried by a design uncertainty considered when both are subjected to uncertain loads. Also, it is examined the effects of the method for considering uncertainty on the optimization process in the light of computational efficiency and reliability of solutions obtained.


2006 ◽  
Author(s):  
Tae-Uk Kim ◽  
In Hee Hwang ◽  
JaeYeul Shim

Optimal design of composite laminates with uncertain in-plane loadings and material properties is considered. The stacking sequence is designed to have maximum buckling load based on anti-optimization approach. To consider the above-mentioned uncertain properties, the convex modeling, interval analysis and Monte Carlo simulation techniques are used in calculating objective function. For the stacking sequence optimization, it is used the modified genetic algorithm which handles the discrete ply angles and the constraints easily. Numerical results are given for rectangular laminates of various aspect ratios. The optimal solutions from the deterministic and the stochastic cases are obtained and it is demonstrated the importance of considering uncertainty. The buckling load carried by a deterministic design is much less than the one carried by a design uncertainty considered when both are subjected to uncertain loads. Also, it is examined the effects of the method for considering uncertainty on the optimization process in the light of computational efficiency and reliability of solutions obtained.


2000 ◽  
Vol 186 (2-4) ◽  
pp. 357-372 ◽  
Author(s):  
Boyang Liu ◽  
Raphael T. Haftka ◽  
Mehmet A. Akgün ◽  
Akira Todoroki

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