Buckling optimization of laminated composite plates using genetic algorithm and generalized pattern search algorithm

Karakaya, Şükrü; Soykasap, Omer

doi:10.1007/s00158-008-0344-2

Cited by 57 publications

(46 citation statements)

References 10 publications

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“…In this case, pattern consists of the vectors and the algorithm computes the objective function at these mesh points before polls. 16,30,33 If the algorithm finds an objective function value which is smaller than the value at 0 ¼ ½ 10 50 , the poll at corresponding iteration is called as 'successful.' Supposing the vector ½ 10 55 satisfies the condition, the algorithm sets the next point in the sequence equal to 1 ¼ ½ 10 55 .…”

Section: Generalized Pattern Search Algorithmmentioning

confidence: 99%

Comparison of stochastic search optimization algorithms for the laminated composites under mechanical and hygrothermal loadings

Aydın

Artem

2011

Journal of Reinforced Plastics and Composites

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The aim of the present study is to design the stacking sequence of the laminated composites that have low coefficient of thermal expansion and high elastic moduli. In design process, multi-objective genetic algorithm optimization of the carbon fiber laminated composite plates is verified by single objective optimization approach using three different stochastic optimization methods: genetic algorithm, generalized pattern search, and simulated annealing. However, both the multi-and single-objective approaches to laminate optimization have been used by considerably few authors. Simplified micromechanics equations, classical lamination theory, and MATLAB Symbolic Math toolbox are used to obtain the fitness functions of the optimization problems. Stress distributions of the optimized composites are presented through the thickness of the laminates subjected to mechanical, thermal, and hygral loadings.

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Section: Generalized Pattern Search Algorithmmentioning

confidence: 99%

Comparison of stochastic search optimization algorithms for the laminated composites under mechanical and hygrothermal loadings

Aydın

Artem

2011

Journal of Reinforced Plastics and Composites

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“…In the design optimization of laminated composites, the possible approaches may be divided into three categories: (i) fibers are assumed to be straight in each layer of an angle-ply laminate [3], (ii) fibers are assumed to be straight in each layer, but each ply can have different fiber angles [4,5], and (iii) in each ply, fiber orientations vary as functions of position (spatial fiber orientations resulting in varying stiffness properties over the whole structure) [6,7]. Fiber orientations may be considered as continuous or discrete design variables.…”

Section: Introductionmentioning

confidence: 99%

Choice of Design Variables in the Stacking Sequence Optimization for Laminated Structures

Muc

2016

Mech Compos Mater

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A special type of new, continuous design variables is introduced in order to find optimum solutions for discrete fiber orientations. In the buckling analysis, as two or three different fiber orientations are considered, optimum solutions can be found in an analytical way. For a greater number of discrete fiber orientations, a special optimization algorithm based on the evolution strategy is used to solve the combinatorial optimization problems dealing with the optimum design of the laminate stacking sequence. The analysis is conducted with the example of simply supported rectangular multilayered composite plates subjected to buckling and the first-ply-failure constraints. The results demonstrate the effectiveness, simplicity, and advantages of the use of continuous design variables in the discrete optimization problem.

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“…Different constraints like fundamental frequency, maximum deflection under uniform lateral load and mass have been considered. For more recent works on laminated plates, one can refer to the work done in 2007 [34], 2009 [35] and 2013 [36].…”

Section: Introductionmentioning

confidence: 99%

Buckling optimisation of sandwich cylindrical panels

Abouhamzeh

Sadighi

2016

Curved and Layered Structures

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Abstract:In this paper, the buckling load optimisation is performed on sandwich cylindrical panels. A finite element program is developed in MATLAB to solve the governing differential equations of the global buckling of the structure. In order to find the optimal solution, the genetic algorithm Toolbox in MATLAB is implemented. Verifications are made for both the buckling finite element code and also the results from the genetic algorithm by comparisons to the results available in literature. Sandwich cylindrical panels are optimised for the buckling strength with isotropic or orthotropic cores with different boundary conditions. Results are presented in terms of stacking sequence of fibers in the face sheets and core to face sheet thickness ratio.

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Buckling optimization of laminated composite plates using genetic algorithm and generalized pattern search algorithm

Cited by 57 publications

References 10 publications

Comparison of stochastic search optimization algorithms for the laminated composites under mechanical and hygrothermal loadings

Comparison of stochastic search optimization algorithms for the laminated composites under mechanical and hygrothermal loadings

Choice of Design Variables in the Stacking Sequence Optimization for Laminated Structures

Buckling optimisation of sandwich cylindrical panels

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