Optimum design of laminated composite plates with cutouts using a genetic algorithm

Sivakumar, K.; Iyengar, N.G.R.; Deb, Kalyanmoy

doi:10.1016/s0263-8223(98)00072-5

Cited by 63 publications

(40 citation statements)

References 16 publications

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“…Callahan and Weeks [24], Nagendra et al [25], Le Riche and Haftka [26], and Ball et al [27] have been the first to adopt and use GA for the design of piling sequences of composite laminated materials. GA has also been used in problems with different objective functions, such as strength [28,29], buckling loads [9,28,[30][31][32][33][34], dimensional stability [35], strain energy absorption [36], weight (either as a restriction or as an objective to minimize) [37,38], bending/torsion connection, stiffness [36,39], basic frequencies [34,[40][41][42], distortion [43], or finding laminate reference parameters [44]. GA have also been applied in the design of a variety of composite structures ranging from simple rectangular plates to complex geometrical sheets, such as sandwich panels [45], rigid sheets [46], bolt joints [47], and laminated cylindrical panels [34].…”

Section: State Of the Art Of Composite Materials Designmentioning

confidence: 99%

Memetic Computing Applied to the Design of Composite Materials and Structures

Peláez

Gómez-Ruiz

Veintimilla

et al. 2017

Mathematical Problems in Engineering

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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.

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Section: State Of the Art Of Composite Materials Designmentioning

confidence: 99%

Memetic Computing Applied to the Design of Composite Materials and Structures

Peláez

Gómez-Ruiz

Veintimilla

et al. 2017

Mathematical Problems in Engineering

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“…• maximizing the fundamental frequency of the laminated composite structure (Sivakumar et al, 1998);…”

Section: Optimization Of Composite Structures By Genetic Algorithmsmentioning

confidence: 99%

An Improved Genetic Algorithm for the Optimization of Composite Structures

Gantovnik

Fadel

̈rdal

2006

Volume 1: 32nd Design Automation Conference, Parts a and B

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There are many diverse applications that are mathematically modelled in terms of mixed discrete-continuous variables. The optimization of these models is typically difficult due to their combinatorial nature and potential existence of multiple local minima in the search space. Genetic algorithms (GAs) are powerful tools for solving such problems. GAs do not require gradient or Hessian information. However, to reach an optimal solution with a high degree of confidence, they typically require a large number of analyses during the optimization search. Performance of these methods is even more of an issue for problems that include continuous variables. iii DedicationThe author wishes to dedicate this work to the memory of his grandfather, Vladimir Alexandrovich Pticyn , who was a mechanical engineer.iv Acknowledgments

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“…The early examples of composites optimization using GA include Callahan & Weeks (1992), LeRiche & Haftka (1993), Hajela & Erisman (1993), Nagendra et al (1993), Ballet al (1993), Giirdal et al (1994), Kogisa et al (1994a) and Kogisa et al (1994b). More recent applications of GA to composites optimization include the works by McMahon et al (1998), Sivakumar et al (1998), Todoroki & Haftka (1996), Liu et al (1998), , Todoroki & Sasai (1999) and Sasai (1999), Autio (2000), Autio (2001) and Soremekun et al (2001). The details of the technique can be found in books such as Goldberg (1989) (1989), Back (1996) ), Blachut & Eschenauer (2001 and its applications to composites in Giirdal et al (1999).…”

Section: Evolutionary Algorithms (Ea)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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Optimum design of laminated composite plates with cutouts using a genetic algorithm

Cited by 63 publications

References 16 publications

Memetic Computing Applied to the Design of Composite Materials and Structures

Memetic Computing Applied to the Design of Composite Materials and Structures

An Improved Genetic Algorithm for the Optimization of Composite Structures

Optimization of Laminated Composites and Overview of Smart Material Applications

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