Study On Optimization Design Of Sacrificial Anode System Of Ship Superstructure

The military strategic position of ship is becoming more and more important. The main military powers of the whole world have already strengthened the research of ship, in which the anti-corrosion of the ship superstructure is one of the most important parts. The narrow and limited space, the internal complicated baffles, the expensive metal facilities, and the humid-dry cycling operating surroundings, all the reasons mentioned above cause the particularity and serious corrosive harm to the ship superstructure, compared with the corrosion of the ordinary ship hull.Nowadays, the complex anti-corrosion system is used for the ship superstructure, which is the combination of the anti-corrosion coat and the sacrificial anode system. According to the above engineering problem, the reasonable humid-dry cycling decision plan and the shielding effects produced by the internal baffle and the pipe line facilities is considered in this thesis. Basic research on shielding effect and optimization design of sacrificial anode system are main contents in this thesis.Firstly, a series of model experiments were carried out. The relationship between all kinds of shielding effects and the structural features were analyzed. The reasonable anti-corrosion potential reference is considered. Calcic horizon on the metal surface is considered as an effective method to resolve the humid-dry cycling problem.Secondly, numerical simulation calculation technique and correlation software basing on BEM is applied, and a series of distribution datum of protective potential and protective current density are obtained. The results of numerical simulation calculation and BP Artificial Neural Networks arithmetic is applied, then the non-line relationship between distribution of sacrificial anode and MAE of protective potential is obtained. At last, Genetic Algorithms is used for researching optimization design of sacrificial anode system. The control parameter corresponding to the design excellence is explored. Optimization design method is studied, and feasibility of this method is validated by example.