Analysis of sulfate resistance in concrete based on artificial neural networks and USBR4908-modeling
Osama Hodhod - Cairo University
(in lingua inglese)
A quite high correlation was found between the results of experimental USBR4908 and the simulation from modeling by ANN. It can be suggested that ANN modeling technique can reliably predict the value of the expansion of concrete cylinder .These values remained within the range of the experimental USBR4908 tests found in previous studies.
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Fonte: Articolo Ain Shams Engineering Journal, 2013
Parole chiave: AI Intelligenza artificiale per l'industria
- MIMIT - Ministero delle Imprese e del Made in Italy
- Contradata Milano
- Franco Santini
- Antonio Panvini
- Micaela Caserza Magro