Stacking sequence design of composite laminates for maximum strength using genetic algorithms

Park, J.H.; Hwang, Ji Hyun; Lee, C.S.; Hwang, Woo-Seok

doi:10.1016/s0263-8223(00)00170-7

Cited by 142 publications

(65 citation statements)

References 17 publications

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“…Callahan and Weeks [24], Nagendra et al [25], Le Riche and Haftka [26], and Ball et al [27] have been the first to adopt and use GA for the design of piling sequences of composite laminated materials. GA has also been used in problems with different objective functions, such as strength [28,29], buckling loads [9,28,[30][31][32][33][34], dimensional stability [35], strain energy absorption [36], weight (either as a restriction or as an objective to minimize) [37,38], bending/torsion connection, stiffness [36,39], basic frequencies [34,[40][41][42], distortion [43], or finding laminate reference parameters [44]. GA have also been applied in the design of a variety of composite structures ranging from simple rectangular plates to complex geometrical sheets, such as sandwich panels [45], rigid sheets [46], bolt joints [47], and laminated cylindrical panels [34].…”

Section: State Of the Art Of Composite Materials Designmentioning

confidence: 99%

Memetic Computing Applied to the Design of Composite Materials and Structures

Peláez

Gómez-Ruiz

Veintimilla

et al. 2017

Mathematical Problems in Engineering

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Presently, there exists an important need for lighter and more resistant structures, with reduced manufacturing costs. Laminated polymers are materials which respond to these new demands. Main difficulties of the design process of a composite laminate include the necessity to design both the geometry of the element and the material configuration itself and, therefore, the possibilities of creating composite materials are almost unlimited. Many techniques, ranging from linear programming or finite elements to computational intelligence, have been used to solve this type of problems. The aim of this work is to show that more effective and dynamic methods to solve this type of problems are obtained by using certain techniques based on systematic exploitation of knowledge of the problem, together with the combination of metaheuristics based on population as well as on local search. With this objective, a memetic algorithm has been designed and compared with the main heuristics used in the design of laminated polymers in different scenarios. All solutions obtained have been validated by the ANSYS5 software package.

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Section: State Of the Art Of Composite Materials Designmentioning

confidence: 99%

Memetic Computing Applied to the Design of Composite Materials and Structures

Peláez

Gómez-Ruiz

Veintimilla

et al. 2017

Mathematical Problems in Engineering

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“…Most of these works were restricted to the plate type structures [7][8][9][10][11][12] because of the mathematical complexity involved in the analysis of other composite structures. However, in recent year, the commercially available finite element software makes it possible to optimize the complicated composite structures [13][14][15].…”

Section: Present Theories and Practicesmentioning

confidence: 99%

Validation of the thin-walled composite box beams using FEM

Pawar¹

2012

IOSRJMCE

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“…3,4 Genetic Algorithm (GA) is the most commonly used stochastic optimization method in design and optimization of composite laminates. [5][6][7][8][9][10][11][12][13] GAs are also well suited for stacking sequence optimization in which they can produce alternative optima in repeated runs due to their random nature. 14 Buckling should be considered as a critical failure mode for thin and large composite plates subjected to compressive in-plane loads.…”

Section: Introductionmentioning

confidence: 99%

Buckling optimization of composite laminates using a hybrid algorithm under Puck failure criterion constraint

Deveci

Aydın

Artem

2016

Journal of Reinforced Plastics and Composites

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In this study, an optimization procedure is proposed to find the optimum stacking sequence designs of laminated composite plates in different fiber angle domains for maximum buckling resistance. A hybrid algorithm combining genetic algorithm and trust region reflective algorithm is used in the optimization to obtain higher performance and improve the quality of solutions. As a novelty, Puck fiber and inter-fiber failure criteria are directly implemented to the optimization problems as nonlinear function constraints, which have allowed more consistent and feasible results. The performance of the hybrid algorithm is demonstrated by comparing with the individual performances of genetic and trust region reflective algorithms via test problems from the literature. Also, a study is performed to exhibit the effectiveness of the selected failure criterion as constraint among the other common criteria. The proposed procedure is used to solve many problems including various design considerations. The results indicate that reliable stacking sequence designs can be achieved in specific configurations even for the composite plates subjected to superior buckling loads when Puck physically based (3D) failure theory is considered as a first ply failure constraint in the buckling optimization.

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Stacking sequence design of composite laminates for maximum strength using genetic algorithms

Cited by 142 publications

References 17 publications

Memetic Computing Applied to the Design of Composite Materials and Structures

Memetic Computing Applied to the Design of Composite Materials and Structures

Validation of the thin-walled composite box beams using FEM

Buckling optimization of composite laminates using a hybrid algorithm under Puck failure criterion constraint

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