Neural prediction of mechanical properties of fiber-reinforced lightweight concrete containing silica fume and nano-silica
Experimenting to acquire the optimum result for producing a product in a real environment takes a long time and has various costs. Numerical simulations help save time and improve accuracy in implementing numerous complex tests. The present study exploits neural networks in MATLAB to calculate the m...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Peter the Great St. Petersburg Polytechnic University
2023-04-01
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| Series: | Magazine of Civil Engineering |
| Assuntos: | |
| Acceso en liña: | http://engstroy.spbstu.ru/article/2023.118.08/ |
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