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Mechanics-Guided Genetic Programming Expression for Shear-Strength Prediction of Squat Reinforced Concrete Walls with Boundary Elements
| 题名： | Mechanics-Guided Genetic Programming Expression for Shear-Strength Prediction of Squat Reinforced Concrete Walls with Boundary Elements |
| 正文语种： | 英语 |
| 作者： | Ahmed Gondia; Mohamed Ezzeldin; Wael El-Dakhakhni |
| 作者单位： | McMaster Univ., |
| 关键词： | Artificial intelligence; Boundary elements; Data-driven expression; Evolutionary computing; Genetic programming; Heuristic optimization; Machine learning; Multigene programing; Seismic load; Squat reinforced concrete shear wall |
| 摘要： | Squat reinforced concrete shear walls with boundary elements (SRCSW-BE) are used in special structures (e.g., nuclear facilities) to resist lateral seismic loads. However, several studies have demonstrated the inaccuracy of the relevant current shear stre |
| 出版日期： | 2020 |
| 出版年： | 2020 |
| 期刊名称： | Journal of Structural Engineering |
| 卷： | Vol.146 |
| 期： | No.11 |
| 页码： | 04020223 |
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