Buckling optimization of variable thickness prismatic folded plates

Özakça, Mustafa; Tayşi, Nildem; Kolcu, F.

doi:10.1016/s0263-8231(03)00021-1

Cited by 6 publications

(3 citation statements)

References 11 publications

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“…A vast range of analysis methods are available, including Finite Strip [10][11][12] and Finite Element [5][6][7][8][9]. Focusing on FE analysis, the analysis method to be used herein, recent examples which demonstrate the current state-of-the-art include studies which examine the influence of manufacturing assembly methods on panel strength, for both marine [13][14] and aerospace structures [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Impact of finite element idealisation on the prediction of welded fuselage stiffened panel buckling

Ekmekyapar

Murphy

Quinn

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part G:

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Abstract:Lap joints are widely used in the manufacture of stiffened panels and influence local panel sub-component stability, defining buckling unit dimensions and boundary conditions. Using the Finite Element method it is possible to model joints in great detail and predict panel buckling behaviour with accuracy. However, when modelling large panel structures such detailed analysis becomes computationally expensive. Moreover, the impact of local behaviour on global panel performance may reduce as the scale of the modelled structure increases. Thus this study presents coupled computational and experimental analysis, aimed at developing relationships between modelling fidelity and the size of the modelled structure, when the global static load to cause initial buckling is the required analysis output. Small, medium and large specimens representing welded lap-joined fuselage panel structure are examined. Two element types, shell and solid-shell, are employed to model each specimen, highlighting the impact of idealisation on the prediction of welded stiffened panel initial skin buckling.

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Section: Introductionmentioning

confidence: 99%

Impact of finite element idealisation on the prediction of welded fuselage stiffened panel buckling

Ekmekyapar

Murphy

Quinn

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…At each iteration, design optimisation refines the local design (thicknesses in metallic panels or stacking sequence in composite panels) using a vast range of potential algorithms. 35–39…”

Section: Introductionmentioning

confidence: 99%

Maintaining a grasp on reality – Is our validation and design effort focused in the same direction?

Price

Murphy

2015

The Journal of Strain Analysis for Engineering Design

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This article examines the influence on the engineering design process of the primary objective of validation, whether it is proving a model, a technology or a product. Through the examination of a number of stiffened panel case studies, the relationships between simulation, validation, design and the final product are established and discussed. The work demonstrates the complex interactions between the original (or anticipated) design model, the analysis model, the validation activities and the product in service. The outcome shows clearly some unintended consequences. High fidelity validation test simulations require a different set of detailed parameters to accurately capture behaviour. By doing so, there is a divergence from the original computer-aided design model, intrinsically limiting the value of the validation with respect to the product. This work represents a shift from the traditional perspective of encapsulating and controlling errors between simulation and experimental test to consideration of the wider design-test process. Specifically, it is a reflection on the implications of how models are built and validated, and the effect on results and understanding of structural behaviour. This article then identifies key checkpoints in the design process and how these should be used to update the computer-aided design system parameters for a design. This work strikes at a fundamental challenge in understanding the interaction between design, certification and operation of any complex system.

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“…The studies on the non-linear buckling analysis of laminated conical shells are very scarce [7 -9]. Özakça ea.al [10] did the the maximization of the critical buckling load of the prismatic folded plate with constraints on the buckling loads. The whole structural optimization process is carried out by integrating finite strip analysis, cubic spline shape and thickness definition, semi analytical sensitivity analysis and mathematical programming algorithm.The orientation of fibers in the layers is an important factor that must be obtained in order to predict how well the finished composite product will perform under real-world working conditions.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Composite Truncated Cone Structure Layers under Buckling Load

Pour

Sadighi

Kami

2012

AMM

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The orientation of fibers in the layers is an important factor that must be obtained in order to predict how well the finished composite product will perform under real-world working conditions. In this research, a five-layer glass-epoxy composite truncated cone structure under buckling load was considered. The simulation of the structure was done utilizing finite element method and was confirmed comparing with the published experimental results. Then the effect of different orientation of fibers on the buckling load was considered. For this, a computer programing was developed to compute the buckling load for different orientations of fibers in each layer. These orientations were produced randomly with the delicacy of 15 degrees. Finally, neural network and genetic algorithm methods were utilized to obtain the optimum orientations of fibers in each layer using the training data obtained from finite element simulation. There are many parameters such as the number of hidden layers, the number of neurons in each hidden layer, the training algorithm, the activation function and so on which must be specified properly in development of a neural network model. The number of hidden layers and number of neurons in each layer was obtained by try and error method. In this study, multilayer back-propagation (BP) neural network with the Levenberg-Marquardt training algorithm (trainlm) was used. Finally, the results showed that the truncated cone with optimum layers withstand considerably more buckling load.

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Buckling optimization of variable thickness prismatic folded plates

Cited by 6 publications

References 11 publications

Impact of finite element idealisation on the prediction of welded fuselage stiffened panel buckling

Impact of finite element idealisation on the prediction of welded fuselage stiffened panel buckling

Maintaining a grasp on reality – Is our validation and design effort focused in the same direction?

Optimization of the Composite Truncated Cone Structure Layers under Buckling Load

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