A surrogate model for finite element simulation of elastic wave propagation in composite materials
Deep learning surrogate models can be employed in solid mechanics to forecast the behavior of structures subjected to various loading conditions, substantially decreasing the computational costs associated with simulations. In this letter, we have utilized convolutional neural networks and Fourier t...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
AIP Publishing LLC
2023-11-01
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| Series: | AIP Advances |
| Acceso en liña: | http://dx.doi.org/10.1063/5.0177974 |
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