The Structural Analysis And Intelligent Optimization Of Hydraulic Pressure Flexible Flap Gate

Hydraulic pressure flexible flap gate is a new type of flap gate. The gate is supported by the pressure coming from the rubber bag. When the gate is opening, the pressure is released slowly. The whole system is composed of gate, gate hinge, rubber bag, rubber bag hinge and waterstop. Gate is composed of faceplate and beam system. Gate leaf is connected by rubber seal and fastener, and several leafs can be linked. Pier joins the two links. Comparing with the ordinary steel gate, hydraulic pressure flexible flap gate allows greater deformation, and it has flexibility. So the consumption of steel can be saved. At present, this type of gate is at the experimental stage. There is no correlative design specification for it and the theoretical calculation of it is not mature enough. Further research to the hydraulic pressure flexible flap gate is needed. Basing on the existing models, this type of gate is studied by using structural analysis method and optimal techniques. The main contents in the paper are as follows:(1) The operating principle and the basic balance equations in the running course of the hydraulic pressure flexible flap gate were analyzed, and then the force status and the discharge capacity of the gate were further studied.(2) Based on spatial finite element method, structural analysis to the hydraulic pressure flexible flap gate was carried out. The finite element analysis software ANSYS was introduced, and the gate of a hydraulic power station in Chengde city was studied(3) Combing the finite element method with the genetic algorithm, the interface program of C++ and ANSYS software was written, and the integration of genetic algorithm (GA) and ANSYS parametric design language (APDL) was realized. This method was applied to optimize the beam system and faceplate of hydraulic pressure flexible flap gate.(4) The method that combines GA and radial basis function response surface was brought forward. It was the integration of GA and radial basis artificial neural network (RBF). The best approximation performance of RBF and global optimization performance of GA made gate calculation realize unification of efficiency and accuracy. This method was verified by optimizing the hydraulic pressure flexible flap gate.(5) In the last section of the paper, the whole research is summarized and the prospects to the further research are put forward.