CAJ | 학술논문

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．
근거아국대기부식망참적루적배경수거화재료부식수거，채용인공신경망락방법，건립료탄강급저합금강재대기조건하，부식솔여금속부식폭로시간대응관계적예측모형．결과표명：재상동적대기배경하불동적금속존재착불동적망락；상동금속재불동적대기배경하존재착불동망락；BP산법적형식요근거실제정황이정．
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.