Optimal deflection and stacking sequence prediction of curved composite structure using hybrid (FEM and soft computing) technique

Sharma, Nitin; Lalepalli, Anil K.; Hirwani, Chetan Kumar; Das, Arijit; Panda, Sidhartha; Topal, Umut; Dede, Tayfun

doi:10.1007/s00366-019-00836-8

Cited by 18 publications

(5 citation statements)

References 21 publications

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“…In the following, we use the numerical solutions to adjust and extend the expression of pressure p given in Eq. (23). We recall that the numerical procedure by Yang and Feng is valid for incompressible materials.…”

Section: Extension Of the Analytical Model And Fitting To The Numeric...mentioning

confidence: 99%

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Analytical, numerical and experimental study of the finite inflation of circular membranes

Pelliciari

Sirotti

Aloisio

et al. 2022

International Journal of Mechanical Sciences

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Section: Extension Of the Analytical Model And Fitting To The Numeric...mentioning

confidence: 99%

“…These systems are therefore of primary importance for applications in terrestrial and space structures [20,21]. Applications in the nonlinear flexural response of composite panel structures are also of great importance [22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Analytical, numerical and experimental study of the finite inflation of circular membranes

Pelliciari

Sirotti

Aloisio

et al. 2022

International Journal of Mechanical Sciences

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“…Endif Endif (18) If the total number of plies N is a variable and the fundamental frequency f has a low boundary V, the minimum number of layers n min (in half laminate) should be determined first…”

Section: Elsementioning

confidence: 99%

“…Later, the combination of Elitist-Genetic algorithm (E-GA) and finite strip method (FSM) 17 was used to optimize the fundamental frequency of symmetric composite laminates. Sharma et al 18 applied the finite element method (FEM) with particle swarm optimization (PSO) and teaching–learning based optimization (TLBO) to stacking sequence optimization of curved composite structures for minimum bending deflection. Kalita et al 19,20 combined finite element (FE) method with genetic algorithm (GA), repulsive particle swarm optimization with local search and chaotic perturbation (RPSOLC), and co-evolutionary host–parasite algorithm (CHP) for fundamental frequency maximization of skew composite laminates.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective optimization design of hybrid composite laminates for vibration using sequential permutation table method

Jing

Qin

Zhang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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Due to the large variable design space in optimization problems of composite laminates, it remains one of the challenging tasks to develop efficient optimization design methods to improve the design flexibility and efficiency. This work presents a sequential permutation table (SPT) method for the multiobjective optimization design of two-material hybrid composite laminates with simply supported boundary conditions, which maximizes the fundamental frequency and minimizes the cost/weight. Based on the vibration analysis of hybrid composite laminates, the approximate linear regularity of the square of fundamental frequency is derived, and two best ply orientations for the two materials are identified, respectively. By assigning one best ply orientation with maximum fundamental frequency at respective stacking positions, and using another best ply orientation to replace plies in the stacking sequence from the mid-plane to the outermost can lead to the optimum. Two multiobjective optimization problems are employed to verify the SPT method, results are compared with those obtained by heuristic algorithms. The obtained better solutions demonstrate the effectiveness and efficiency of the SPT method and its potentials for optimal design of hybrid composite laminates.

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“…Also, the acoustic responses of natural fiber reinforced polymer nanocomposite was simulated by ref 32 . Other related works involving simulation, modeling and optimization can be found in literatures [33][34][35][36][37] . Therefore, the effects of varied proportions and particle sizes of coconut shell ash on polyester/coconut shell ash composites were investigated in this study with the goal of modeling the experimental results using a response surface technique.…”

mentioning

confidence: 99%

Optimization of the mechanical properties of polyester/coconut shell ash (CSA) composite for light-weight engineering applications

Daramola

Akinwande

Adediran

et al. 2023

Sci Rep

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The mechanical properties of coconut shell ash (CSA) reinforced polyester composite have been optimized. Various test specimens were developed by dispersing 10, 20, 30 and 40 wt.%, of CSA in unsaturated polyester resin in decreasing particle sizes of 40, 30, and 20 µm in an open mould using hand lay-up technique. Tensile, flexural, and impact strengths, as well as tensile and flexural moduli and Shore D hardness of all test samples were determined. The results showed that 10–20 wt.% CSA increased tensile, flexural, impact strengths and flexural modulus for all particle sizes, but 30–40 wt. % CSA engendered depreciation in corresponding performance. For all particle sizes, 10–40 wt. percent CSA resulted in an increase in tensile strength, whereas 10–40 wt. percent resulted into a linear increase in Shore D hardness. Further observation portrayed that in each case, the finest CSA (20 µm) have the optimum result. Statistical analysis carried out on experimental outcomes confirmed the experimental variables (particle proportion and sizes) to be significant. From the surface plot, the strength responses revealed more dependence on the individual variables than their interactions. Regression models developed for individual responses are termed statistically fit in representing the experimental data.

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Optimal deflection and stacking sequence prediction of curved composite structure using hybrid (FEM and soft computing) technique

Cited by 18 publications

References 21 publications

Analytical, numerical and experimental study of the finite inflation of circular membranes

Analytical, numerical and experimental study of the finite inflation of circular membranes

Multiobjective optimization design of hybrid composite laminates for vibration using sequential permutation table method

Optimization of the mechanical properties of polyester/coconut shell ash (CSA) composite for light-weight engineering applications

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