Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145837 - 145837
Опубликована: Май 1, 2025
Язык: Английский
Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145837 - 145837
Опубликована: Май 1, 2025
Язык: Английский
Buildings, Год журнала: 2025, Номер 15(2), С. 191 - 191
Опубликована: Янв. 10, 2025
In structures with reinforced concrete walls, coupling beams join individual walls to produce a rigid assembly that withstands sideways forces. A precise forecasting of the critical shear capacity is essential avoid early failure and attain desired ductility performance coupled wall systems in earthquake design. This paper examines ability Support Vector Regression (SVR) predicting beams. SVR distinguished machine learning regression method has been positively utilized former works forecast several structural members. Nevertheless, capability this deeply relies on picking its best hyperparameters. To handle this, heuristic optimization procedure named Particle Swarm Optimization (PSO) was merged select optimal The data RC collected from previous were build proposed model. Several metrics, including RMSE, R2, MAE, employed compare optimized model against baseline approaches. Analytical results indicate new prediction can assist civil engineers designing beam more effectively outperforms existing models strength such
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Materials Today Communications, Год журнала: 2025, Номер unknown, С. 112619 - 112619
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Renewable Energy, Год журнала: 2025, Номер unknown, С. 123440 - 123440
Опубликована: Май 1, 2025
Язык: Английский
Процитировано
0Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145837 - 145837
Опубликована: Май 1, 2025
Язык: Английский
Процитировано
0