Structural Strength and Laminate Optimization of Composite Connecting Bracket in Manned Spacecraft Using a Genetic Algorithm

Li, Ke; Li, Xuewen; Jin, Yulong; Qi, Hongzhong; Liu, Xintian; Xu, Shen

doi:10.1007/s10443-018-9736-7

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…The design of a laminate in nature is a tricky optimization problem involving several discrete variables and additional constraints. The traditional wisdom [14], [15], [16], [17], [18], [19], [20], [21], [22] suggests using an evolutionary algorithm to solve this problem with a single objective function, appending additional constraints to the objective function as punishment items, in which the coefficient of each punishment is a random number with a range from 0 to 1. Adams [23] et al use a genetic algorithm approach by locally reducing a thick laminate to generate and evaluate valid globally blended designs for composite panel structure optimization.…”

Section: Introductionmentioning

confidence: 99%

The Multi-Objective Design of Laminated Structure with Non-Dominated Sorting Genetic Algorithm

Zhang¹,

Wang²,

Zeng³

2022

IJACSA

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Non-dominated sorting genetic algorithm has shown excellent advantages in solving complicated optimization problems with discrete variables in a variety of domains. In this paper, we implement a multi-objective genetic algorithm to guide the design of the laminated structure with two objectives: minimizing the mass and maximizing the strength of a specified structure simultaneously, classical lamination theory and failure theory are adopted to compute the strength of a laminate. The simulation results have shown that a non-dominated genetic algorithm has great advantages in the design of laminated composite material. Experiment results also suggest that optimal run times are from 16 to 32 for the design of glass-epoxy laminate with non-dominated sorting genetic algorithm. We also observed that two stages involve the optimization process in which the number of individuals in the first frontier first increases, and then decreases. These simulation results are helpful to decide the proper run times of genetic algorithms for glass-epoxy design and reduce computation costs.

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Section: Introductionmentioning

confidence: 99%

The Multi-Objective Design of Laminated Structure with Non-Dominated Sorting Genetic Algorithm

Zhang¹,

Wang²,

Zeng³

2022

IJACSA

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“…Hong et al 18 presented a multiobjective optimization method to optimize the multiple objectives, such as strength, deflection, and weight of the composite bladed marine propeller. Li et al 19 presented an optimization scheme by using genetic algorithm (GA) to design a composite connecting bracket used in manned spacecraft. Vosoughi and Nikoo 20 used a hybrid method to maximize the fundamental natural frequency and thermal buckling temperature of moderately thick laminated composite plate.…”

Section: Introductionmentioning

confidence: 99%

Optimization of laminated composite plates subjected to nonuniform thermal loads

Nicholas

Dharmaraja²,

Sofía

et al. 2019

Polymers and Polymer Composites

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Fiber-reinforced laminated composite structures are extensively used in aircraft and aerospace industries for their high specific strength and stiffness. In such applications, they are generally subjected to nonuniform thermal loads due to change in thermal conditions. Therefore, the composite structures used in the applications in which they are subjected to nonuniform thermal loads must also be designed to withstand thermal loads. As mechanical and thermal properties of fiber-reinforced laminated composites are greatly influenced by the direction of fibers and stacking sequences, they are optimally varied in this article to maximize the critical buckling temperature of the composite plate. The ply angle and stacking sequence of the laminated composite plate are optimized using genetic algorithm to maximize the thermal buckling temperature. As the plate is subjected to different kinds of nonuniform thermal load cases, finite element technique is used to analyze the plate during the optimization process. As geometry and supporting conditions of the plate also have great influence on its thermal buckling strength, the investigation is further widened by carrying out the optimization process for the plate model constructed with various types of support conditions, aspect ratio, and nonuniform load cases. The numerical results clearly show the necessities that the optimum ply angle and stacking sequences are greatly varying based on the aspect ratio, support conditions, and nonuniform loading cases.

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Novel approach in experimental and statistical investigations on titanium matrix composite

Bose

Nandi

2021

Bull Mater Sci

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Structural Strength and Laminate Optimization of Composite Connecting Bracket in Manned Spacecraft Using a Genetic Algorithm

Cited by 4 publications

References 14 publications

The Multi-Objective Design of Laminated Structure with Non-Dominated Sorting Genetic Algorithm

The Multi-Objective Design of Laminated Structure with Non-Dominated Sorting Genetic Algorithm

Optimization of laminated composite plates subjected to nonuniform thermal loads

Novel approach in experimental and statistical investigations on titanium matrix composite

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