The Dynamic Identification Of Hydropower House Structure And Hydraulic Machinery

Along with the fast developing of hydropower construction in our country, the capacity and dimension of hydroelectric generating unit increase constantly, and the rotational speed increases correspondingly. The vibrating problem of water turbine generator set emerging, which becomes an important problem to be studied. Severe vibration of water turbine generator sets had occurred, with the larger of capacity and the higher of the water head, in some of hydropower stations. So it is urgent to study the vibration sources and vibration problems. In China ,there are many large scale hydropower stations and pump-storage stations being in construction. It is significant to research the characters of vibration loads by constructing the numerical model and identifying turbine vibration loads. The work can offer technical instruction on the dynamic optimization design of hydropower house and vibration control of water turbine generator set. So the research work has important value in theory science and engineering.In the research, the ascertain of vibration loads or dynamic parameters is a key problem to the forecast and control of the vibrant system. The main contents of the paper are colligating traditional theoretical methods and current Intelligent Algorithms, integrating the vibration experiment on site with Finite Element Method (FEM) numerical analysis, and applying the technical of dynamic identification to do the inverse dynamic analysis of the hydropower house structures and dynamic loads.(1) For the parameters identification of dynamic problems, new self-adaptation genetic operates are created by introducing a new index which can reflect the diversity of population in genetic algorithms. With the ANSYS Parametric Design Language (APDL), the improved pseudo-parallel genetic algorithms were applied to identifying dynamic parameters of a certain underground powerhouse successfully. The identification method has a good global convergence performance as well as a strong anti-noise ability, and it can be used on engineering practice.(2) To do much study on two traditional identification method in time domain. One of which is based on mode decomposition, the other of which is based on numerical integral method of solving dynamic equations. Advantage and disadvantage comparisons between...