Air Entrainment and Air Demand in the Spillway Tunnel at the Jinping-I Dam

Applied Sciences

卷:7

Shunqi Pan¹  Fang Liu²  Wenjuan Gou²  Qunan Ouyang²  Chunfeng Qi²  Jijian Lian² 

[1] School of Engineering, Cardiff University, Cardiff CF24 3AA, UK;

[2] State Key Laboratory of Hydraulic Engineering Simulation and Safety, School of Civil Engineering, Tianjin University, Tianjin 300072, China;

关键词: air entrainment;    prototype observation;    air demand;    cavitation noise;    scale effect;    Jinping-I Dam;   

DOI  :  10.3390/app7090930

来源: DOAJ

【 摘 要 】

Artificial air entrainment has been widely used to avoid cavitation damage in spillways where high-velocity flow occurs, and its performance is very important for spillway safety. In order to evaluate the performance of the aeration system in the spillway tunnel of the Jinping-I Dam, which is the highest arched dam in the world to date, systematic prototype observation was conducted. Ventilation characteristics of the air supply system and aeration-related characteristics of the aeration devices were examined at the prototype scale. The results showed that air flows smoothly in the air intake well and the real effect of air entrainment of the aeration device was desirable. In contrast with results from laboratory tests with a physical model at a scale of 1/30 following the gravity similarity, it was found that air demand in the prototype is much greater, clearly indicating the scale effect. By summing up and analyzing the air demand ratio of the prototype to the model in some projects, the scale effect was found to be ignorable when the model scale was greater than 1/10. In addition, based on a series of prototype data on air demand, a brief evaluation of present calculation methods for air demand was conducted and a new form of calculation method for air demand related to unit width flow rate was established. The present prototype results can be used as a reference for similar engineering design, and to validate and verify numerical simulations as well as model tests.

【 授权许可】

Unknown