摘要
针对京津冀地区碳钢土壤腐蚀问题,应用误差反向传播(BP)神经网络,以主影响因素为输入参数,分别构建了针对京津冀地区碳钢土壤腐蚀速率模型。根据各主要土壤腐蚀影响因素数值,对碳钢土壤腐蚀速率实现了预测。并基于地理信息系统(GIS)绘制了中国年均碳钢土壤腐蚀速率地图。研究表明:京津冀地区单年均碳钢土壤腐蚀速率西北高东南低,多年均碳钢土壤腐蚀速率基本均匀分布;pH、含盐总量、土壤温度、全氮量和有机质对碳钢土壤腐蚀较为显著;1、3、5和8年均碳钢土壤腐蚀速率分布最大为6.159、2.322、2.614和3.467 g/(dm^2·a)。
In view of the corrosion of carbon steel soil in Beijing-Tianjin-Hebei region, the prediction model for corrosion and pore corrosion in soil were developed using Back Propagation(BP) neural network. The main influencing factors were used as input parameters. According to the values of main soil corrosion influencing factors, the carbon steel soil corrosion rate was predicted. Average annual carbon steel soil corrosion rate in China was mapped based on Geographic Information System(GIS). The research shows that the average annual corrosion rate of carbon steel in Beijing-Tianjin-Hebei region is higher in the northwest and lower in the southeast in one year, and the average annual corrosion rate is basically uniformly distributed in many years. The carbon steel soil corrosion caused by pH value, total salt content, soil temperature, total nitrogen content and organic matter is more significant. The maximum average annual corrosion rate of carbon steel in 1, 3, 5 and 8 years is 6.159, 2.322, 2.614 and 3.467 g/(dm^2·a).
作者
李敬洋
王震
陈怡
祁俊峰
杨斌
LI Jingyang;WANG Zhen;CHEN Yi;QI Junfeng;YANG Bin(Beijing Spacecrafts Manufacturing Co.,Ltd.,Beijing 100094,China;National Center for Materials Service Safety,University of Science and Technology Beijing,Beijing 100083,China)
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
2020年第6期1151-1158,共8页
Journal of Beijing University of Aeronautics and Astronautics
