Structural optimization to improve the dynamic performance of novel co‐curing damping sandwich composites

Zheng, Changsheng; Sun, Peng; Fù, Yànpíng; Fu, Xiaojing; Li, Qiang

doi:10.1002/pc.27257

Cited by 5 publications

(1 citation statement)

References 55 publications

(48 reference statements)

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“…The results showed that as the number of alternate layers increased, the modulus of the material first increased and then decreased, and the composite loss factor also increased and then decreased; when the number of alternate layers is 7, the modulus of the material and the composite loss factor of the whole structure reach the peak at the same time. Zheng et al 14 used modal analysis and numerical simulation to study the influence of different damping layer thicknesses on the damping performance of the whole structure under free vibration. They found that the composite loss factor of the whole structure first increased and then decreased as the damping layer thickness increased.…”

Section: Introductionmentioning

confidence: 99%

An inquiry into the uncertainty mechanism: The influence of the number of layers in multilayered damping materials on composite loss factor

Qin,

Zhang,

et al. 2024

Polymer Composites

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Layered design is an important method for improving the loss factor of damping materials. However, the composite loss factor does not increase with the increase of the number of layers of the damping material. In response to this issue, this paper investigates the mechanism by combining experimental and simulation analyses. First, for the damping material itself, the relationship between the material loss factor and the number of damping layers was studied based on dynamic mechanical analysis. Second, for the composite structure of damping material and substrate, the relationship between the composite loss factor and the number of damping layers of the free damping structure was obtained by the cantilever resonance method, and the influence of material and structure parameters on the composite loss factor was clarified by finite element analysis. Finally, for aiming at the composite structure of damping material with constraint layer and substrate, the mechanism of the influence of the number of layers of layered damping material on the uncertainty of the composite loss factor was further investigated and discussed. The results indicated that for free damping structures, the composite loss factor increases with the increase of the number of damping layers only when the elastic modulus of the damping layer is similar to that of the substrate. For constrained damping structures, only when the constraint layer is relatively thin and has a certain amount of density and modulus, the composite loss factor of the constrained damping structure increases as the number of damping layers increases.Highlights The mechanism by which the number of layers of damping material affects the composite loss factor has been clarified. The composite loss factor does not necessarily increase as the number of layers of damping material increases. The composite loss factor of a free damping structure is mainly influenced by the Young's modulus of the damping layer. The composite loss factor of constrained damping structures is mainly influenced by the thickness, density, and modulus of the constrained layer.

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Section: Introductionmentioning

confidence: 99%

An inquiry into the uncertainty mechanism: The influence of the number of layers in multilayered damping materials on composite loss factor

Qin,

Zhang,

et al. 2024

Polymer Composites

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Impact resistance optimization of composite laminates based on variable‐fidelity surrogate model

Liu,

Lu,

Zhang

et al. 2024

Polymer Composites

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To improve the impact resistance of composite materials, this study introduces an efficient global optimization framework based on a multi‐fidelity surrogate model to optimize the layup sequence of laminates. Numerical simulation models are constructed utilizing Hashin and Puck failure criteria to provide a few time‐consuming high‐fidelity samples and a multitude of inexpensive low‐fidelity samples. The traditional genetic algorithm has been improved in terms of encoding mechanisms, genetic operators, genetic probabilities, algorithm structure, and the recognition of constraint conditions. The translation propagation algorithm based on optimal Latin hypercube sampling is used to generate initial sample points and improve the quality of space filling. An efficient global optimization framework for time‐consuming simulation problems is established by combining the Hierarchical Kriging surrogate model and multi‐fidelity expectation improved addition criterion to seek the optimal layup sequence of composites when the impact resistance of unconventional layup laminates is maximized. The optimized laminate shows a significant increase in impact resistance, evidenced by a 32.5% increase in peak impact contact force and an 18.01% decrease in the total delamination damage area. Analysis of the impact damage area reveals that post‐optimization, the laminate deforms less under impact load, exhibiting more directions of damage spread and an enhanced load‐bearing capacity.Highlights An improved DNA genetic algorithm is proposed in terms of encoding mechanisms, genetic operators, and algorithm structure. Numerical simulation models are constructed utilizing Hashin and Puck failure criteria to provide high‐fidelity samples. An efficient global optimization framework for time‐consuming simulation problems is established by combining the Hierarchical Kriging surrogate model. The mechanical response and damage mechanism of the original and optimized laminates under low‐velocity impact are analyzed.

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Vibration characteristics of composite damping plate with randomly oriented carbon nanotube reinforced stiffeners

Wang,

Li,

Zhai

et al. 2023

Int J Mech Mater Des

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Structural optimization to improve the dynamic performance of novel co‐curing damping sandwich composites

Cited by 5 publications

References 55 publications

An inquiry into the uncertainty mechanism: The influence of the number of layers in multilayered damping materials on composite loss factor

An inquiry into the uncertainty mechanism: The influence of the number of layers in multilayered damping materials on composite loss factor

Impact resistance optimization of composite laminates based on variable‐fidelity surrogate model

Vibration characteristics of composite damping plate with randomly oriented carbon nanotube reinforced stiffeners

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