A parameter identification scheme of the visco-hyperelastic constitutive model of rubber-like materials based on general regression neural network

Chen, Shenghao; Wang, Chunguang; Li, Xuan; Li, Maoqing; Li, Mengjie; Li, Qun

doi:10.1007/s00419-023-02434-z

Arch Appl Mech

2023

DOI: 10.1007/s00419-023-02434-z

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A parameter identification scheme of the visco-hyperelastic constitutive model of rubber-like materials based on general regression neural network

Shenghao Chen

Chunguang Wang

Xuan Li

et al.

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A micromechanics-based artificial neural networks model for rapid prediction of mechanical response in short fiber reinforced rubber composites

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Li,

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International Journal of Solids and Structures

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A micromechanics-based artificial neural networks model for rapid prediction of mechanical response in short fiber reinforced rubber composites

Chen,

Li,

Dong

et al. 2024

International Journal of Solids and Structures

View full text Add to dashboard Cite

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A parameter identification scheme of the visco-hyperelastic constitutive model of rubber-like materials based on general regression neural network

Cited by 1 publication

References 35 publications

A micromechanics-based artificial neural networks model for rapid prediction of mechanical response in short fiber reinforced rubber composites

A micromechanics-based artificial neural networks model for rapid prediction of mechanical response in short fiber reinforced rubber composites

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