Multicriterion stacking sequence optimization scheme for composite laminates subjected to multiple loading conditions

Kere, Petri; Koski, Juhani

doi:10.1016/s0263-8223(01)00092-7

Cited by 14 publications

(8 citation statements)

References 6 publications

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“…(6), and the term W(d), which represents membrane strain energy associated with lateral deflection, is given by…”

Section: Buckling Loadsmentioning

confidence: 99%

“…In this study, the Golden section method [5] is implemented for optimizing a weighted sum of critical buckling load and resonant frequency for a given thickness, considering fiber orientations as design variables. Kere and Koski [6] introduced a multi-criterion stacking sequence optimization for composite laminates subjected to multiple loading conditions. Laminate failure margins are treated as an objective function that is determined with an iterative line search method.…”

Section: Introductionmentioning

confidence: 99%

“…In some design considerations, the optimization problem is defined as multi-objective function problem with the designer having little or no information about the relative weighting of each objective function. In such situations applying a pay-off table, as described in [6], is an efficient way of choosing the optimal laminate configuration. In another work, Spallino and Rizzo [7] studied multi-objective optimization using an evolution strategy coupled with game theory and a genetic algorithm.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Coupled modification of natural frequencies and buckling loads of composite cylindrical panels

Shahab¹,

Mirzaeifar²,

Bahai³

2009

International Journal of Mechanical Sciences

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“…(6), and the term W(d), which represents membrane strain energy associated with lateral deflection, is given by…”

Section: Buckling Loadsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Coupled modification of natural frequencies and buckling loads of composite cylindrical panels

Shahab¹,

Mirzaeifar²,

Bahai³

2009

International Journal of Mechanical Sciences

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“…Optimization of composite laminates under multiple loads was studied , Haridas and Rule (1997), Liu and Hollaway (2000), and Kere and Koski (2001).…”

Section: Load Uncertainty (Lu)mentioning

confidence: 99%

Optimization of Laminated Composites and Overview of Smart Material Applications

Adali

2003

Modern Trends in Composite Laminates Mechanics

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The issues, problems and techniques concerning the optimization of laminated composites are discussed and specific cases of design optimization are presented. After a general introduction to methods of optimization of composites with emphasis on genetic algorithms, a discussion of design and decision variables is given and problem complexities are highlighted. This is followed by specific examples of composites design under deterministic conditions, and in particular, stiffness and strength optimization, thermal buckling, and optimization with multiple objectives are studied. The design uncertainties are the subject of the separate chapter where design optimization techniques such as convex modelling and anti-optimization are illustrated again by means of specific examples involving uncertain material, load and geometric data. Section 6 provides an overview of the properties and applications of widely used smart materials which is followed by some specific examples of the use of smart materials in vibration control and composite design applications. It is noted that sections 1-5 (except the material on genetic algorithms) are an abridged version of the material in Adali (2003) which is being published in these Lecture Notes with the permission of CRC Press.

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“…Kere [6] adopted GAs to simulate the optimization of laminated cylindrical panels under various load conditions; Rao [7] employed scatter search algorithms to calculate the optimal stacking angles of laminates; Matsuzaki [8] adopted the fractal branch-and-bound method to optimize the stacking sequences for asymmetrical laminates; and Aymerich [9] adopted the ant-colony optimization method and identified the maximum value of buckling load by changing the stacking sequences of laminates.…”

Section: Introductionmentioning

confidence: 99%

Optimum Design for CLD Laminate Plates Using Genetic Algorithms

Luo¹,

Hsieh²

2014

OJCM

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The optimizations of constrained layered damped (CLD) laminated structures are discussed in this study. Genetic algorithms (GAs) are employed as the search tool for optimization because these algorithms are suitable for solving optimization problems involving multiple discrete variable combinations. The numerical computation packages, ANSYS and MATLAB, have been used to estimate the optimum stacking sequence of CLD laminated structures. MATLAB package is used to achieve GAs process, and ANSYS package is used to proceed the structural analysis. This study successfully developed a numerical simulation mechanism for optimizing CLD adhesion efficiency by implementing GAs and the finite element method. The loss coefficients of the CLD damping layer vary with vibration frequency and failure constraints of CLD laminated plates are considered in objective function. In addition, the modified plasticity analysis (MPA) is used to increase the search efficiency of GAs and simply plastic analysis.

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Multicriterion stacking sequence optimization scheme for composite laminates subjected to multiple loading conditions

Cited by 14 publications

References 6 publications

Coupled modification of natural frequencies and buckling loads of composite cylindrical panels

Coupled modification of natural frequencies and buckling loads of composite cylindrical panels

Optimization of Laminated Composites and Overview of Smart Material Applications

Optimum Design for CLD Laminate Plates Using Genetic Algorithms

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