Optimal design of composite laminated plates with the discreteness in ply angles and uncertainty in material properties considered

Kim, Tae-Uk; Sin, Hyo-Chol

doi:10.1016/s0045-7949(01)00133-x

Cited by 30 publications

(14 citation statements)

References 16 publications

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“…The branch and bound algorithm is used to handle the discrete ply angles. It has previously been used for optimization problem of composite laminates [13,14]. The original algorithm is modified for stacking sequence optimization, as follows.…”

Section: Branch and Bound Methodsmentioning

confidence: 99%

Optimal design of composite wing subjected to gust loads

Kim

Hwang

2005

Computers & Structures

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Section: Branch and Bound Methodsmentioning

confidence: 99%

Optimal design of composite wing subjected to gust loads

Kim

Hwang

2005

Computers & Structures

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“…Pantelides and Booth [15] and Pantelides and Garzerli [17] used the convex model as a design tool in optimal design of structures with uncertainties. Kim and Sin [12] used the convex model in composite laminated plates design with material uncertainty. Elseifi et al [11] used convex models to address uncertainties in geometric imperfections of stiffened composites panel.…”

Section: Convex Modelsmentioning

confidence: 99%

Uncertainty Modeling and Analysis of Natural Resonant Frequency and Transconductance Parameters in Microresonators Design

Attoh-Okine

2007

IEEE Trans. Syst., Man, Cybern. C

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The correspondence presents a method of analyzing uncertainty in microelectromechanical systems (MEMS). A specific example is presented using comb microresonators. The equation governing the resonant frequency and the transconductance values was analyzed. The mathematical formulation of the convex model was derived. The major finding is that convex models can be used as an uncertainty analysis tool in MEMS design applications.

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“…More recently, the convex modelling was applied to the stiffness optimization of composites by Kim and Sin (2001) with the technique applied to the calculation of failure criterion. In a number of optimization studies, reliability methods were used to deal with MU and the elastic constants were treated as random variables (Murotsu et al, 1994, Miki et al, 1997, Richard and Perreux, 2000.…”

Section: Materials Uncertainty (Mu)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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Optimal design of composite laminated plates with the discreteness in ply angles and uncertainty in material properties considered

Cited by 30 publications

References 16 publications

Optimal design of composite wing subjected to gust loads

Optimal design of composite wing subjected to gust loads

Uncertainty Modeling and Analysis of Natural Resonant Frequency and Transconductance Parameters in Microresonators Design

Optimization of Laminated Composites and Overview of Smart Material Applications

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