基于BP-GIS的京津冀Q235大气腐蚀预测地图

Corrosion Prediction Map of Q235 Carbon Steel Based on BP Method and GIS in Beijing,Tianjin and Hebei Province

目前对京津冀地区Q235钢的腐蚀地图未见报道。应用误差反向传播(BP)神经网络,创建了Q235大气腐蚀预测模型,并实现了京津冀地区的腐蚀预测。基于地理信息系统(GIS)绘制了京津冀地区碳钢大气腐蚀速率、腐蚀等级和腐蚀等级概率地图。结果表明:京津冀地区Q235大气腐蚀等级为二级、三级和四级,大气腐蚀速率、腐蚀等级及达到各腐蚀等级的概率在空间上分布基本相同,呈现出东南高西北低、沿海高内陆低的趋势。唐山和邢台的Q235大气腐蚀速率和达到高腐蚀等级概率最大,此现象与该地区大气中污染物SO2和NO2含量相对较高相关。

At present,the studies on the corrosion map of Q235 steel in Beijing,Tianjin and Hebei provinces have not been reported.In this work,the Back Propagation(BP)neural network was used to establish the Q235 atmospheric corrosion prediction model,and the corrosion prediction in Beijing,Tianjin and Hebei was realized.Based on Geographic Information System(GIS),the probability maps of atmospheric corrosion rate,grade and grade probability of carbon steel in Beijing,Tianjin and Hebei were drawn.Results showed that the atmospheric corrosion grades of Q235 in Beijing,Tianjin,Hebei area were grade 2,grade 3 and grade 4,respectively.In addition,the atmospheric corrosion rate,grade and probability of reaching each corrosion grade were basically similar in space,exhibiting a trend of high in southeast,low in northwest,high in coastal areas and low in inland areas.The atmospheric corrosion rate and probability of reaching high corrosion grade of Q235 in Tangshan and Xingtai presented the maximum,which were related to the relatively high contents of SO2 and NO2 in the atmosphere at the two areas.