A review on optimization of composite structures Part I: Laminated composites

Comparison of mechanical, electrical and thermal properties in graphene oxide and reduced graphene oxide filled epoxy nanocomposite adhesives

Genetic algorithms (GAs) are a tool used to solve high-complexity computational problems. Apart from modelling the phenomena occurring in Nature, they help in optimization, simulation, modelling, design and prediction purposes in science, medicine, technology, and everyday life. They can be adapted to the given task, be joined with other ones (this leads to combined or hybrid methods), and can work in parallel on many processors. The uses of GAs reported in literature represent a wide variety of approaches and led to solving of numerous computational problems of high complexity. In materials science and related fields of science and technology the GAs open possibilities for materials design, studies of their properties, or production at industrial scale. Here, the recent use of GAs in various domains connected to materials science, solid state physics and chemistry, crystallography, biology, and engineering is reviewed. The listed examples taken from recent literature show how broad the use of these metho...

Genetic Algorithms, a Nature-Inspired Tool: Survey of Applications in Materials Science and Related Fields

Display Omitted Development of a new hybrid PSO-SA optimization method.Numerical validation of the proposed method using a number of benchmark functions.Using three criteria for comparative work.Finding near optimum parameters of the proposed method.Application of the proposed algorithm in two engineering problems. A novel hybrid particle swarm and simulated annealing stochastic optimization method is proposed. The proposed hybrid method uses both PSO and SA in sequence and integrates the merits of good exploration capability of PSO and good local search properties of SA. Numerical simulation has been performed for selection of near optimum parameters of the method. The performance of this hybrid optimization technique was evaluated by comparing optimization results of thirty benchmark functions of different dimensions with those obtained by other numerical methods considering three criteria. These criteria were stability, average trial function evaluations for successful runs and the total average trial function evaluations considering both successful and failed runs. Design of laminated composite materials with required effective stiffness properties and minimum weight design of a three-bar truss are addressed as typical applications of the proposed algorithm in various types of optimization problems. In general, the proposed hybrid PSO-SA algorithm demonstrates improved performance in solution of these problems compared to other evolutionary methods The results of this research show that the proposed algorithm can reliably and effectively be used for various optimization problems.

A new hybrid particle swarm and simulated annealing stochastic optimization method

A comparative review between Genetic Algorithm use in composite optimisation and the state-of-the-art in evolutionary computation

In this paper, genetic algorithm and generalized pattern search algorithm are used for optimal stacking sequence of a composite panel, which is simply supported on four sides and is subject to biaxial in-plane compressive loads. The problem has several global optimum configurations in the vicinity of local optima. The composite plate under consideration is 64-ply laminate made of graphite/epoxy. The laminate is taken to be symmetric and balanced, comprised of two-ply stacks with discrete fiber angles of 02, ± 45, 902 in the laminate sequence. The critical buckling loads are maximized for several combinations of load case and plate aspect ratio, and are compared with published results. Performance of both algorithms is compared in terms of capability of identifying global optima. It is found that genetic algorithm is efficient for problems with global optima.

Buckling optimization of laminated composite plates using genetic algorithm and generalized pattern search algorithm

In this study, genetic algorithm and simulated annealing are used to maximize natural frequency and buckling loads of simply supported hybrid composite plates. The aim of the study is to use two different techniques of optimization on the frequency and buckling optimization of composite plates, and compare the techniques for their effectiveness. The composite plate is made of carbon/epoxy and glass/epoxy hybrid plies, and assumed to be symmetric and balanced. The effect of hybridization is investigated using both techniques. The buckling problem has many maxima in the vicinity of local maxima. The best configurations are identified for different plate aspect ratios. The performance of both techniques is compared in terms of number of function evaluations as well as the capability of finding best configurations.

Natural frequency and buckling optimization of laminated hybrid composite plates using genetic algorithm and simulated annealing

This study focuses on understanding the damage behavior caused by the lightning strike of carbon nanotube (CNT) doped carbon fiber reinforced plastic (CFRP) composites. Quasi isotropic CFRP laminated composite plates used in aerospace structures are modeled to investigate behavior of lightning strike damage. Abaqus finite element program is used in the analysis to study the effect of different waveforms and peak currents. First coupled electrical and thermal analysis is carried out using multi-physics, the results of which are verified with the experimental data obtained in open literature. In the next step, it is assumed that CNTs in different weight percentage are added to resin and the electrical properties of the CFRP plate are updated to run coupled thermal electrical analysis. The results show that the damage area in each ply and the depth of the damage are not linear under the effect of either different waveforms or maximum strike currents. When the weight percentage of CNT doped into the resin inc...

Simulation of lightning strike damage in carbon nanotube doped CFRP composites

This article presents a study of large tape springs to be used as ribs of an ultra-thin shell space deployable reflector. The tape spring, both longitudinally and transversely curved, is made of ca...

Curved large tape springs for an ultra-thin shell deployable reflector

In this study, the structural optimization of laminated composite plates for maximum buckling load capacity is performed by using genetic algorithm. The composite plate under consideration is a 64-ply laminate made of graphite/epoxy, is simply supported on four sides, and subject to in-plane compressive static loads. The critical buckling loads are determined for several load cases and different plate aspect ratios using 2-ply stacks of 02, ±45, 902. The problem has multiple global solutions, the results of which are compared with previously published results.

Şükrü Karakaya

Papers

Buckling optimization of laminated composite plates using genetic algorithm and generalized pattern search algorithm

Natural frequency and buckling optimization of laminated hybrid composite plates using genetic algorithm and simulated annealing

Simulation of lightning strike damage in carbon nanotube doped CFRP composites

Curved large tape springs for an ultra-thin shell deployable reflector

Structural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using Genetic Algorithm