Optimization of Concrete Slab Floor Thickness of Stilling Basins According to Pressure Fluctuations
摘要
Pressure fluctuations are one of the important characteristics of turbulent flows in stilling basins that are effective for determining the concrete slab floor thickness. This study used hybrid approaches of evolutionary algorithms, including genetic algorithm, particle swarm optimization, and artificial bee colony approaches, with the K-means clustering algorithm to determine the outlier data of pressure fluctuations. The thickness changes of the concrete slabs of stilling basins were investigated after removing the outlier pressure data. Therefore, two case studies of physical models of Type I and II stilling basins without inner baffle blocks were considered to check the performance of the proposed methods. When the suggested methods were used, the average thickness of the concrete slabs in the Type I and Type II stilling basins decreased by 21.62% and 24.55%, respectively. Moreover, it has been observed that the thickness of the concrete slab in the right and left axes of stilling basins is almost the same after removing the outlier data. This issue indicated that the proposed approach has reasonable performance due to the symmetry of the stilling basins.