Machine learning-assisted vibration analysis of graphene-origami metamaterial beams immersed in viscous fluids

Murari, Bill; Zhao, Shaoyu; Zhang, Yihe; Yang, Jie

doi:10.1016/j.tws.2024.111663

Thin-Walled Structures

2024

DOI: 10.1016/j.tws.2024.111663

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Machine learning-assisted vibration analysis of graphene-origami metamaterial beams immersed in viscous fluids

Bill Murari,

Shaoyu Zhao,

Yihe Zhang

et al.

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Cited by 5 publications

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Machine learning-assisted vibration analysis of graphene-origami metamaterial beams immersed in viscous fluids

Cited by 5 publications

References 43 publications

Machine Learning and Optimization Algorithms for Vibration, Bending and Buckling Analyses of Composite/Nanocomposite Structures: A Systematic and Comprehensive Review

Machine Learning and Optimization Algorithms for Vibration, Bending and Buckling Analyses of Composite/Nanocomposite Structures: A Systematic and Comprehensive Review

Application of graphene origami metamaterials to improve nonlinear vibrations of the cars’ hood door under transient loading: Introducing machine learning method for solving the nonlinear problem

Programming morphological and mechanical performance of cyclic ori-kirigami via design-feasible parameter space

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