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Parameters Identification of Rubber-like Hyperelastic Material Based on General Regression Neural Network
In this study, we present a systematic scheme to identify the material parameters in constitutive model of hyperelastic materials such as rubber. This approach is proposed based on the combined use of general regression neural network, experimental data and finite element analysis. In detail, the fi...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181827/ https://www.ncbi.nlm.nih.gov/pubmed/35683072 http://dx.doi.org/10.3390/ma15113776 |