摘要
以流速作为弯管冲刷腐蚀的主要影响因素,运用FLUENT流体仿真软件,对海水弯管流场进行模拟,结合神经网络分析拟合了海水弯管中流速与冲刷腐蚀速率的相关方程,建立了弯管腐蚀敏感部位及冲刷腐蚀速率预测的模型。通过实海试验对模型的有效性进行了验证。模型预测和验证试验结果表明,腐蚀破坏最严重均出现在截面角度30°进口附近,该预测模型能有效预测弯管腐蚀敏感部位及冲刷腐蚀速率。
A model for predicting corrosion sensitive parts and erosion-corrosion rates of seawater bend was established by the simulation of flow field in a seawater bend using flow velocity as the main influencing factor of bend erosion-corrosion and FLUENT fluid simulation software,in combination with the simulation of the correlative equation between flow velocity and erosion-corrosion rate in seawater bend by neural network analysis.The validity of the model was verified by experiments in real sea.The model prediction and verification experiments got the same result that the worst corrosion damage occurred in the vicinity of the inlet with section angle of 30°.The model can effectively predict the corrosion sensitive part and the erosion-erosion rate of the bend.
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