Stacking Sequence Optimizations for Composite Laminates with Fractal Branch and Bound Method-Application for Supersonic Panel Flutter Problem with Buckling Load Condition-

Hirano, Yoshiyasu; Todoroki, Akira

doi:10.6089/jscm.29.98

Cited by 8 publications

(11 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the present study, the variables used are the lamination parameters V Ã i and W Ã i (i = 1, 2, 3), and the response y is the objective function that to be optimized, such as buckling load. Our previous study shows that the entire design domain with lamination parameters can be approximated using a quadratic polynomial [11][12][13][14][15][16]. Here also, we adopt a quadratic polynomial for the function of response surface of any problems concerning about composite stiffness.…”

Section: Property Valuementioning

confidence: 98%

“…Since this method is one such branch and bound approach, tuning of the parameters is not required. This method has been successfully applied to the problem of establishing the maximization of the buckling load of a laminate [11,12], and for determining the maximization of the flutter limit [13,14] with constraints. The FBB method has also been applied to unsymmetrical laminates, such as composite cylinders [15].…”

Section: Introductionmentioning

confidence: 98%

“…The constraint of the buckling load has previously been implemented in the FBB method [13] to address the single panel flutter speed limit maximization problem. This method, however, requires a modification for the stiffened, panel because the multiple stacking sequence optimizations are indispensable for practical stiffened composite structures.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Stacking sequence optimization to maximize the buckling load of blade-stiffened panels with strength constraints using the iterative fractal branch and bound method

Todoroki¹,

Sekishiro²

2008

Composites Part B: Engineering

Self Cite

View full text Add to dashboard Cite

Section: Property Valuementioning

confidence: 98%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Stacking sequence optimization to maximize the buckling load of blade-stiffened panels with strength constraints using the iterative fractal branch and bound method

Todoroki¹,

Sekishiro²

2008

Composites Part B: Engineering

Self Cite

View full text Add to dashboard Cite

“…The method involves low computational costs, and a practical optimal result can be obtained in milliseconds, by means of a deterministic process. This method has been successfully applied to the problem of establishing the maximization of the buckling load of a laminate [17,18], and for determining the maximization of the flutter speed limit [19] with constraints.…”

Section: Introductionmentioning

confidence: 99%

Warping thermal deformation constraint for optimization of a blade stiffened composite panel using GA

Todoroki¹,

Ozawa²

2013

International Journal of Aeronautical and Space Sciences

Self Cite

View full text Add to dashboard Cite

This paper deals with the optimization of blade stiffened composite panels. The main objective of the research is to make response surfaces for the constraints. The response surface for warping thermal deformation was previously made for a fixed dimension composite structure. In this study, the dimensions of the blade stiffener were treated as design variables. This meant that a new response surface technique was required for the constraints. For the response surfaces, the lamination parameters, linear thermal expansions and dimensions of the structures were used as variables. A genetic algorithm was adopted as an optimizer, and an optimal result, which satisfied two constraints, was obtained. As a result, a new response surface was obtained, for predicting warping thermal deformation.

show abstract

“…Since the 1990s, different design systems which aim to overcome these limitations have been proposed. These proposals have involved approaches ranging from traditional techniques such as classical nonlinear optimization procedures combined with finite element modelling [4,5], through generic task methods and case-based reasoning [6], to modern artificial intelligence techniques [7][8][9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Memetic Computing Applied to the Design of Composite Materials and Structures

Peláez

Gómez-Ruiz

Veintimilla

et al. 2017

Mathematical Problems in Engineering

View full text Add to dashboard Cite

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.

show abstract

Stacking Sequence Optimizations for Composite Laminates with Fractal Branch and Bound Method-Application for Supersonic Panel Flutter Problem with Buckling Load Condition-

Cited by 8 publications

References 0 publications

Stacking sequence optimization to maximize the buckling load of blade-stiffened panels with strength constraints using the iterative fractal branch and bound method

Stacking sequence optimization to maximize the buckling load of blade-stiffened panels with strength constraints using the iterative fractal branch and bound method

Warping thermal deformation constraint for optimization of a blade stiffened composite panel using GA

Memetic Computing Applied to the Design of Composite Materials and Structures

Contact Info

Product

Resources

About