Stability Analysis of Penstock Based on I?P_ANN Algorithm
Stabilization problem of hydropower station penstock under external pressure is one of main control conditions of penstock design. At present, because of factors of assumption conditions and boundary simplification, the various calculation methods of the problem have their limitations; sometimes even calculation results have great differences. In this paper, penstock critical external pressure is simulated by artificial neural network model of based on immune evolutionary programming (IEP_ANN). The method better overcome easy premature convergence shortcoming of other evolutionary computations when solution group distribution is uneven. Example results show that method is feasible and its validity is verified. This paper provides an efficient solving path for stability problem of stiffening penstock under external pressure.
immunized evolutionary programming artificial neural network penstock structural stability component
Dong Wensheng Guo Libing
Institute of Yellow River Science North China Institute of Water Conservancy and Hydroelectric Power AnYang Power Supply Company AnYang, China
国际会议
成都
英文
57-61
2010-06-12（万方平台首次上网日期，不代表论文的发表时间）