Modified Efficient Global Optimization for a Hat-Stiffened Composite Panel with Buckling Constraint

Todoroki, Akira; Sekishiro, Masato

doi:10.2514/1.34548

Cited by 31 publications

(27 citation statements)

References 25 publications

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“…The description of the Kriging response surface is detailed in [20]. To make the response surface of the buckling stress factor, Latin Hypercube Sampling (LHS) was used.…”

Section: Optimization Problemmentioning

confidence: 99%

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

Todoroki¹,

Ozawa²

2013

International Journal of Aeronautical and Space Sciences

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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.

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“…The description of the Kriging response surface is detailed in [20]. To make the response surface of the buckling stress factor, Latin Hypercube Sampling (LHS) was used.…”

Section: Optimization Problemmentioning

confidence: 99%

“…We have published papers that deal with the modified efficient global optimization method using a multi-objective GA [20]: the improvement in the objective function, and the possibility of satisfying the constraints are treated as two objective functions.…”

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

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“…Terada [15,16] developed a deterministic optimization method for the stacking sequences of the composite laminates, in which the fractal branch-and bound (FBB) method is applied to buckling load maximization problems. Wodesenbet and Kidane [17] developed an improved smeared method to model the buckling problem of an isogrid stiffened composite cylinder.…”

Section: Todoroki Andmentioning

confidence: 99%

The Application of Reliability Based Optimization of Tophat Stiffened Composite Panels Subject to Bi-Directional Buckling Loads

Xue¹,

Li²,

Sobey³

et al. 2013

JMSE-B

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Stiffened composite panels are used within many applications, from aerospace to marine applications. Stiffened panels are utilized for their high strength to weight ratio and flexibility of layups while counteracting the low stiffness exhibited by composites. Complications arise when attempting to utilize the full variability of layups in conjunction with reliability constraints creating a complex design problem when constrained by both buckling and material strength. To aid the process of optimizing the design of composite structures and layups, while ensuring a low mass, this paper presents a bi-level optimization scheme for minimization of the weight of tophat stiffened composite panels with probabilistic deflection constraints. To improve the computational efficiency, an energy based grillage method is formulated and applied for the investigation of buckling problems under bi-directional in-plane loads. The method is validated by comparing the results obtained from FE model calculations. The variables that have a large impact on the structural safety have been identified by both safety index and COV based reliability analysis. A parametric study of plate dimensions and loading ratios is conducted to investigate the coupling effects on critical buckling load. The method presented in this paper, makes it possible for engineers to improve their designs, at an early stage, with an integrated consideration between product performance and design parameters.

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“…Many researchers studied on the optimization coupled with uncertainty [16][17][18]. In contrast, Todoroki and Terada [19,20] introduced the deterministic optimization method for the stacking sequences of the composite laminates wherein buckling load is maximized by employing fractal branch-and bound (FBB) method. Reliability based design attempts to ensure a minimal probability of failure by controlling of stochastic variables.…”

Section: Introductionmentioning

confidence: 99%

A Response Surface Modelling Approach for Resonance Driven Reliability Based Optimization of Composite Shells

Dey

Mukhopadhyay²,

Khodaparast³

et al. 2016

Period. Polytech. Civil Eng.

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IntroductionThe development of reliable composite structures in production process is always subjected to large variability due to manufacturing imperfection and uncertain operational factors. In practice, an additional factor of safety is assumed by designers due to difficulty in assessing reliability to avoid resonance in conjunction to uncertainties of stochastic natural frequencies. This existing practice of designer results in either an ultraconservative (overestimation of material cost) or an unsafe design. Hence, it is needed to overcome this current limitation wherein the design of composites are restricted to a deterministic regime despite of rapidly increasing demands of technological, economical and safety needs. Many literatures are available dealing with uncertainty quantification of composite structures [1][2][3]. Moreover, the reliability in conjunction to cost component involved in weight optimization of such composite structures are always a challenge for the designers. The common cause of employing composite structures in many applications (such as aircraft, civil structures) is weight sensitiveness wherein the objective of design optimization [4] is to lower the weight for achieving the better performance. For example, in structural design problem, the need of computation of the natural frequency is required to avoid the resonance which can vary with the uncertain geometric and material properties of the structure. In such engineering applications with complex systems, the consequences of uncertain system behaviour become severe in terms of cost and effort. The assessment of probability of failure and the need to improve the reliability of the systems have become essentially important for structural safety. Such necessities in turn raise the need for reliability based design optimization (RBDO) analysis [5]. The uncertain variation of system parameters can be mathematically coupled with optimization tools such as genetic algorithm (GA) to achieve safety as well as cost-effectiveness.Many studies are carried out by applying RBDO methods for optimal design of shallow composite structures. The random loading and material properties including manufacturing uncertainties are considered for example in [6][7][8][9][10][11]. Miki [12] and Fukunaga and Chou [13] proposed a graphical optimization method using lamination parameters for stiffened compos-

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Modified Efficient Global Optimization for a Hat-Stiffened Composite Panel with Buckling Constraint

Cited by 31 publications

References 25 publications

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

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

The Application of Reliability Based Optimization of Tophat Stiffened Composite Panels Subject to Bi-Directional Buckling Loads

A Response Surface Modelling Approach for Resonance Driven Reliability Based Optimization of Composite Shells

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