神经网络在金属大气腐蚀率预测中的应用

Application of Artifcal Nural Network in Prediction Corrosion Value of Metal in Atmosphere

  • 摘要: 根据我国大气腐蚀网站积累的环境数据和材料腐蚀数据,采用人工神经网络方法。建立了碳钢及低合金钢在大气条件下,腐蚀率与金属腐蚀暴露时间对应关系的预测模型.结果表明:在相同的大气环境下不同的金属存在着不同的网络;相同金属在不同的大气环境下存在着不同网络;BP算法的形式要根据实际情况而定.

     

    Abstract: The prediction models of carbon steel and low alloy steel in atmosphere between corrosion rate exposure time were achieved,according to environment data and material corrosion data collected by atmospheric corrosion sites of China and using artificial neural network method.Relationship between corrosion rate and exposure times for carbon steel and low alloy steel in atmosphere was stuelied chieved, a based on environment data and material corrosion data and using studied artifial neural network methed. And the prediction models for predicting corrosion value of metal in atmosphere were achieved.

     

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