| Autor: |
Indira Inzunza-Aragón, Sonia E. Ruiz, Laura Cruz-Reyes |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Advances in Civil Engineering, Vol 2022 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1687-8094 |
| DOI: |
10.1155/2022/4219524 |
| Popis: |
The estimation of structural reliability is a process that requires a large number of computational hours when statistical data are not available since it is necessary to perform a large amount of analysis or numerical simulations to estimate parameters related to the reliability. A methodology is proposed for estimating the structural reliability index, as well as the demand and structural capacity factors inherent to the structure, given the fundamental vibration period and the height of the structure, by using artificial neural networks (ANN) and, alternatively, the response surface method (RSM). Both approaches are applied to steel wind turbine towers. For the cases studied, ANN allow evaluating the reliability index and both the demand and structural capacity factors with greater accuracy than when using RSM. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
Plný text