Author(s): Wen Wang; Tao Xue; Minghao Deng; Hunan Qiu; Shaobo Xue

Linked Author(s): Wen Wang

Keywords: Numerical simulation; Optimization algorithms; Realizable k-ε turbulence model; Response surfaces; Shape optimization; Vertical shaft swirl spillway

Abstract: This study investigates the design optimization of vertical shaft swirl spillways to improve flood discharge efficiency and energy dissipation in hydraulic systems. Using computational fluid dynamics (CFD) and Kriging surrogate modeling, it addresses the complex dynamics of swirling flows in spillways. The Realizable k-ε turbulence model and the Multi-Objective Genetic Algorithm (MOGA) are employed for the geometric optimization, leading to significant performance enhancements. The results show that the optimized design achieves an energy dissipation efficiency of up to 81.88%. This approach underlines the effectiveness of combining advanced computational tools and optimization techniques in hydraulic engineering, providing new design ideas for the safe and stable operation of spillways.

DOI: https://doi.org/10.3850/iahr-hic2483430201-132

Year: 2024