2022
DOI: 10.1002/pc.26624
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Prediction of influences of size and locations of delamination on dynamic characteristics of laminated composite plate using particle swarm optimization and artificial neural network

Abstract: In laminated composite structures, delamination is one of the most common defects. The delamination affects the vibration characteristics of laminates, and thus these indicators can be used to detect the potentially catastrophic failures and measures the health characteristics of laminates. In this study, particle swarm optimization (PSO) and artificial neural network (ANN) are used to optimize and predict the influences of location and size of delamination on the dynamic behavior of composite plates. The clas… Show more

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Cited by 5 publications
(4 citation statements)
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“…Based on present technical knowledge, it is known that some material failures such as matrix cracking, swelling, fiber pull-out and delamination may occur due to the anisotropic and heterogeneous nature of the composite parts during drilling. [36][37][38] On the other side, the surface quality of the holes plays also a crucial role in the flawless and correct assembly of the final products. [39] Therefore, delamination on hole surfaces can be considered one of the critical subjects that should be taken into account during the drilling of composite materials as addressed in many literature efforts.…”
Section: Specific Cutting Coefficient and Delamination Factor Analysesmentioning
confidence: 99%
“…Based on present technical knowledge, it is known that some material failures such as matrix cracking, swelling, fiber pull-out and delamination may occur due to the anisotropic and heterogeneous nature of the composite parts during drilling. [36][37][38] On the other side, the surface quality of the holes plays also a crucial role in the flawless and correct assembly of the final products. [39] Therefore, delamination on hole surfaces can be considered one of the critical subjects that should be taken into account during the drilling of composite materials as addressed in many literature efforts.…”
Section: Specific Cutting Coefficient and Delamination Factor Analysesmentioning
confidence: 99%
“…For that reason, many studies have been conducted to determine the optimum design parameters and thus improve the mechanical and dynamic properties of composite materials. [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34] Reguera and Cortinez [20] performed an optimization study to maximize the critical buckling load and minimize the weight of thin-walled composite beams. Qiu and Zhu [21] used the genetic algorithm to optimize the fiber orientations of composite beams under compression loads.…”
Section: Introductionmentioning
confidence: 99%
“…[3,4] During this complex manufacturing process, CFRPs are prone to develop a variety of subtle, invisible defects that can reduce the material's mechanical strength and pose potential safety risks for subsequent engineering application of CFRP structures. [5,6] Therefore, the performance of CFRP products is closely tied to effective structural health inspection methods.…”
Section: Introductionmentioning
confidence: 99%