Inverse problem of bottom slope design for aerator devices  

作　　者：吴建华 樊博 许唯临 

机构地区：[1]College of Water Conservancy and Hydropower Engineering, Hohai University [2]State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University

出　　处：《Journal of Hydrodynamics》2013年第5期805-808,共4页水动力学研究与进展B辑（英文版）

基　　金：Project supported by the National Natural Science Function of China(Grant No.51179114)

摘　　要：Air entrainment is an effective approach to protect release works from cavitation damage. The traditional method of aerator device designs is that, for given flow conditions, the geometries of the aerator device are designed and then the effec（s are experimentally tested for cavitation damage control. The present paper proposes an inverse problem method of determining the bottom slopes in front of and behind an aerator if the requirements of air entrainment, flow conditions and some of aerator geometric parameters are given. An RBF neural network model is developed and the relevant bottom slopes are calculated in different conditions of flow and geometry on the basis of the data of 19 aerator devices from different discharge tunnels with safe operation. The case study shows that the methodology provides an effective way to design aerator devices under given target conditions.Air entrainment is an effective approach to protect release works from cavitation damage. The traditional method of aerator device designs is that, for given flow conditions, the geometries of the aerator device are designed and then the effec（s are experimentally tested for cavitation damage control. The present paper proposes an inverse problem method of determining the bottom slopes in front of and behind an aerator if the requirements of air entrainment, flow conditions and some of aerator geometric parameters are given. An RBF neural network model is developed and the relevant bottom slopes are calculated in different conditions of flow and geometry on the basis of the data of 19 aerator devices from different discharge tunnels with safe operation. The case study shows that the methodology provides an effective way to design aerator devices under given target conditions.

关 键 词：air entrainment bottom slope inverse problem neural network discharge ttmnel 

分 类 号：X703[环境科学与工程—环境工程]