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ANN-Based Model for Predicting the Nonlinear Response of Flush Endplate Connections
| 题名： | ANN-Based Model for Predicting the Nonlinear Response of Flush Endplate Connections |
| 正文语种： | eng |
| 作者： | Gregory Georgiou;Ahmed Elkady |
| 作者单位： | Univ. of Southampton;Univ. of Southampton |
| 关键词： | Steel joints;Machine learning;Artificial neural networks (ANNs);Moment-rotation response;Endplate connections |
| 摘要： | Abstract Predicting the moment-rotation response parameters of semirigid steel connections can be challenging given the many components contributing to the connection’s elastic and plastic deformations. This is the case for the popular flush endplate beam |
| 出版年： | 2024 |
| 期刊名称： | Journal of structural engineering |
| 卷： | 150 |
| 期： | 5 |
| 页码： | 1.1-1.14 |
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