Abstract
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.
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