Layup optimisation of laminated composite tubular structures under thermomechanical loading conditions using PSO

Veivers, Harry; Bermingham, Michael; Dunn, Mitchell; Veidt, Martin

doi:10.1016/j.compstruct.2021.114483

Cited by 9 publications

(4 citation statements)

References 14 publications

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“…In many engineering applications, flexural rigidity serves as a measure of designing sandwich structures. The theory used in this work is called the Timoshenko beam theory, 29,30 which is like the classical beam theory. The difference is between the consideration of shear stress and transverse shear deformation.…”

Section: Resultsmentioning

confidence: 99%

“…For the same core thickness, thicker faceplates like S5 or W5 are not conducive to improving the specific flexural strength of the sandwich composite structures. Unlike the genetic algorithm or artificial neural network that require a large number of data training, the topological optimization, 26,27 the design for six sigma, 27,28 and the particle swarm optimization 28,29 could be used for structure optimization in future work. The specific flexural strength of FML sandwich composite structures with 3D core increased by 106%, 77%, 65%, and 61% than that with aluminum honeycomb core.…”

Section: Failure Processes Of Sandwich Composite Structuresmentioning

confidence: 99%

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Experimental and numerical research on flexural behavior of fiber metal laminate sandwich composite structures with 3D woven hollow integrated core

Lin

Kuang³

et al. 2022

Jnl of Sandwich Structures & Materials

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The face–core debonding of sandwich structures under bending will affect the overall load-bearing capacity. Fiber metal laminate (FML) sandwich composite structures with 3D woven hollow integrated core (3D core) were prepared by vacuum resin infusion method and thermal molding process. The flexural behavior of the structures was experimentally studied by a three-point bending test and investigated by evaluation of specific flexural strength, flexural rigidity, and ductility. Numerical simulation finite element models of structures with different cores under three-point bending were calculated by ABAQUS/Explicit. Results showed that plastic rotation of the “8”-shaped fibers in the 3D core was the main reason for the failure modes of asymmetric densification. FML as the faceplate of the 3D core can significantly improve its flexural strength, rigidity, and ductility.

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Section: Resultsmentioning

confidence: 99%

Section: Failure Processes Of Sandwich Composite Structuresmentioning

confidence: 99%

Experimental and numerical research on flexural behavior of fiber metal laminate sandwich composite structures with 3D woven hollow integrated core

Lin

Kuang³

et al. 2022

Jnl of Sandwich Structures & Materials

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“…Erban [ 15 ] adopted ML technology to accelerate the design process of composites by replacing the time-consuming FEM analysis. Veivers [ 16 ] used particle swarm optimization (PSO) to optimize the layup design of generic tubular geometries under simultaneous thermal and mechanical loading conditions, and Cai [ 17 ] studied the application of ML methods to analyze the dynamic strength of 3D-printed polypropylene (PP) composites. A number of results in the literature show the successful application of machine learning in composite materials, which provides a good idea for the integration of machine learning and composites.…”

Section: Introductionmentioning

confidence: 99%

Accelerating the Layup Sequences Design of Composite Laminates via Theory-Guided Machine Learning Models

Liao

Qiu

Yang³

et al. 2022

Polymers

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Experimental and numerical investigations are presented for a theory-guided machine learning (ML) model that combines the Hashin failure theory (HFT) and the classical lamination theory (CLT) to optimize and accelerate the design of composite laminates. A finite element simulation with the incorporation of the HFT and CLT were used to generate the training dataset. Instead of directly mapping the relationship between the ply angles of the laminate and its strength and stiffness, a multi-layer interconnected neural network (NN) system was built following the logical sequence of composite theories. With the forward prediction by the NN system and the inverse optimization by genetic algorithm (GA), a benchmark case of designing a composite tube subjected to the combined loads of bending and torsion was studied. The ML models successfully provided the optimal layup sequences and the required fiber modulus according to the preset design targets. Additionally, it shows that the machine learning models, with the guidance of composite theories, realize a faster optimization process and requires less training data than models with direct simple NNs. Such results imply the importance of domain knowledge in helping improve the ML applications in engineering problems.

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“…Braided composites are widely used in the aerospace, automobile, sports, and marine industries because of their high specific modulus, strength, and fatigue resistance. 1 Tubular braided composites have several advantages, including being significantly lighter than traditional monolithic materials and having the ability to tailor the layup design to match the thermal and mechanical loading conditions being applied. 2 Circular braiding technology produces a seamless multi-layered fabric over a shaped mandrel enabling the production of near-net shaped preforms for hollow fiber-reinforced composites components in an automatic manner, 3,4 which is readily available, cheap, high production efficiency.…”

Section: Introductionmentioning

confidence: 99%

Thermal stress distribution of multi-layered composite tubes affected by braiding angle

Huang

Jia

et al. 2022

Journal of Engineered Fibers and Fabrics

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Braided tubular composites have been widely applied in various industries, such as aerospace, automobile, and sports, due to their light weight, high fatigue resistance, and good corrosion resistance. It is necessary to study the effect of the preform parameters on the thermodynamic behavior of braided tubular composites. A thermoelastic model of braided multi-layered tubes was developed to investigate the effect of changing the braiding angle on the thermal stress distribution. The thermal stress distributions of different structures were analyzed based on the model. The analysis results show that the layer-by-layer braiding angle critically affects the gradient of the axial thermal stress. The change rates of the braiding angle also significantly affect the gradient of the radial thermal stress. The theoretical results were verified by finite element analysis. These results are beneficial to the optimal design of braided composite tubes subjected to thermal load.

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Layup optimisation of laminated composite tubular structures under thermomechanical loading conditions using PSO

Cited by 9 publications

References 14 publications

Experimental and numerical research on flexural behavior of fiber metal laminate sandwich composite structures with 3D woven hollow integrated core

Experimental and numerical research on flexural behavior of fiber metal laminate sandwich composite structures with 3D woven hollow integrated core

Accelerating the Layup Sequences Design of Composite Laminates via Theory-Guided Machine Learning Models

Thermal stress distribution of multi-layered composite tubes affected by braiding angle

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