Name
Abstract | ||
|---|---|---|
This paper presents a three steps methodology for predicting the failure shear effort in concrete beams. In the first step, dimensional analysis is applied to obtain several sets of dimensionless variables; in the second step, functional and neural networks are used to estimate a rela- tion between those variables and, in the last step, the failure shear effort is recovered from the relations learnt. Finally, the performance of the methodology was validated using data from shear strength experiments. |
Year | Venue | Keywords |
|---|---|---|
2004 | ESANN | dimensional analysis,neural network,shear strength |
Field | DocType | Citations |
Shear strength,Shear (sheet metal),Pattern recognition,Computer science,Functional networks,Artificial intelligence,Beam (structure),Artificial neural network,Structural engineering,Dimensionless quantity | Conference | 2 |
PageRank | References | Authors |
0.53 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amparo Alonso-Betanzos | 1 | 885 | 76.98 |
| Enrique Castillo | 2 | 555 | 59.86 |
| Oscar Fontenla-Romero | 3 | 337 | 39.49 |
| Noelia Sánchez-Maroño | 4 | 406 | 25.39 |