Optimization of buckling load for laminated composite plates using adaptive Kriging-improved PSO: A novel hybrid intelligent method

Keshtegar, Behrooz; Nguyen-Thoi, T.; Truong, Tam T.; Zhu, Shun‐Peng

doi:10.1016/j.dt.2020.02.020

Cited by 34 publications

(8 citation statements)

References 40 publications

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“…( )In each iteration, we need to find the individual best pbest and the overall best gbest, and update the position and speed of the particles [47].…”

Section: Particle Swarm Optimization (Pso) Algorithmmentioning

confidence: 99%

A combination of extended finite element method and the Kriging model based crack identification method

Xie,

Zhao,

et al. 2023

Phys. Scr.

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In this paper, we proposed a crack identification method in which the extended finite element method (XFEM) and a surrogate model are employed. The XFEM is used for accurate modeling of fractures, while the employment of Latin hypercube sampling (LHS) ensures a representative sample space for the input parameters. Then, we use a Kriging surrogate model to establish the response surface between the input and output data and to verify the accuracy of the model predictions. The Kriging model is based on a Gaussian process that models the correlation between the sample points, and it provides an efficient way to interpolate between known data points. To find the optimal solution, we combine the Kriging surrogate model with the particle swarm optimization (PSO) algorithm. From the numerical examples, it can be found that the optimal solutions are in good agreement with the exact solutions.

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“…( )In each iteration, we need to find the individual best pbest and the overall best gbest, and update the position and speed of the particles [47].…”

Section: Particle Swarm Optimization (Pso) Algorithmmentioning

confidence: 99%

A combination of extended finite element method and the Kriging model based crack identification method

Xie,

Zhao,

et al. 2023

Phys. Scr.

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“…According to the literature survey the deployment of Unmanned Aerial Vehicles (UAVs) in many fields like agriculture, transportation, surveillance etc., has received rapid popularity and is also very effective [9,10,11,12]. This is because of their self-transportation and decision capability [13,14,15]. Further, UAVs are embedded with artificial intelligence and decision unit (microprocessors, controllers) which makes more efficient in applications like UAV assisted post-disaster emergency management [9], UAV enabled edge computing application [16], smart internet [10], emergency control indoor-outdoor applications [13].…”

Section: Introductionmentioning

confidence: 99%

Unmanned Aerial Vehicle assisted Intelligent approach to Manage the Resources for Defense Systems

Biswas

Anirudh

Raj

et al. 2022

Preprint

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Generally, resources are transported through manned transportation in a distant war zones. The manual transportation of the resources involve various constrains such as time consuming, risk, cost. Efficient management of these limited resources is one of the primary desiring factors to decide the fate of war. Compu-tationally, resource management is an non-deterministic polynomial hard (NP-hard) problem. In this work, several novel resources management algorithms are designed for defence systems by utilization the intelligence of UAV and Jaccard coefficient and Overlap coefficient mathematical support. The intelligent use of Unmanned Aerial Vehicles (UAVs) facilitate resources management in faster, less risky and efficient manner. The proposed UAV assisted resource management algorithms are analyzed and validated over various synthetic simulated war going situations data sets. The proposed algorithms show significant performance in the total service time, utilization of deployed UAVs and number of flights.

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“…The design variables were chosen to be the fiber orientation angles which were constrained to have integer values in the range [−90 • , 90 • ]. Keshtegar et al [27] worked on buckling load maximization using an improved partial swarm optimization algorithm. The number of layers varied from 2 to 10.…”

Section: Introductionmentioning

confidence: 99%

Metaheuristic Optimization of Laminated Composite Plates with Cut-Outs

et al. 2021

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The stacking sequence optimization of laminated composite plates while maximizing the structural performance or minimizing the weight is a subject investigated extensively in the literature. Meanwhile, research on the optimization of laminates with cut-outs has been relatively limited. Cut-outs being an indispensable feature of structural components, this paper concentrates on the stacking sequence optimization of composite laminates in the presence of circular cut-outs. The buckling load of a laminate is used as a metric to quantify the structural performance. Here the laminates are modeled as carbon fiber-reinforced composites using the finite element analysis software, ABAQUS. For the optimization, the widely used harmony search algorithm is applied. In terms of design variables, ply thickness, and fiber orientation angles of the plies are used as continuously changing variables. In addition to the stacking sequence, another geometric variable to consider is the aspect ratio (ratio of the length of the longer sides to the length of the shorter sides of the plate) of the rectangular laminates. The optimization is carried out for three different aspect ratios. It is shown that, by using dispersed stacking sequences instead of the commonly used 0°/±45°/±90° fiber angle stacks, significantly higher buckling loads can be achieved. Furthermore, changing the cut-out geometry is found to have a significant effect on the structural performance.

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Optimization of buckling load for laminated composite plates using adaptive Kriging-improved PSO: A novel hybrid intelligent method

Cited by 34 publications

References 40 publications

A combination of extended finite element method and the Kriging model based crack identification method

A combination of extended finite element method and the Kriging model based crack identification method

Unmanned Aerial Vehicle assisted Intelligent approach to Manage the Resources for Defense Systems

Metaheuristic Optimization of Laminated Composite Plates with Cut-Outs

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