State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China.
Beijing Spacecrafts, China Academy of Space Technology, Beijing, 100094, China.
Environ Sci Pollut Res Int. 2022 Apr;29(17):25234-25247. doi: 10.1007/s11356-021-17585-1. Epub 2021 Nov 27.
To reduce the losses caused by the atmospheric corrosion of carbon steels, it is important to establish a prediction model to determine the corrosion rate of carbon steels in natural environments. In this study, a prediction model of atmospheric corrosion of Q235 carbon steel (PMACC-Q235) in China was established by coupling the mean impact value algorithm and back propagation artificial neural network. Tempo-spatial patterns of corrosion rates in five long-exposure time categories across China were analyzed. Ten main factors affecting the atmospheric corrosion of Q235 were identified. The corrosion rates in a single year were similar (approximately 30 μm/a) and larger than those for 2 (25.30 μm/a) and 3 years (21.66 μm/a). The spatial corrosion rates in the northwestern areas were primarily lower than those in southeastern coastal areas. This could be influenced by climatic factors, such as temperature, humidity, and precipitation. All corrosion rates reached the C2 level (>1.3 μm/a), and there was some possibility that they reached higher corrosion levels. The largest probability for the C3 level in all periods was an average of 0.91, and that for the C4 level was 0.83. Spatially, higher probabilities were mainly located in the southern area, especially in Hainan, located in the south and surrounded by sea. Corrosion rates largely varied among climatic zones, and mean corrosion rates in the tropical monsoon climate zone were the largest (average of three periods 33.39 μm/a). SO and soluble-dust fall had the largest impact on the variations in the corrosion rates among different climatic zones.
为减少碳钢大气腐蚀造成的损失，建立预测碳钢在自然环境中腐蚀速率的模型十分重要。本研究采用均一性冲击值算法与反向传播人工神经网络耦合，建立了中国 Q235 碳钢大气腐蚀预测模型（PMACC-Q235）。分析了中国五个长暴露时间类别中腐蚀速率的时空分布模式。确定了影响 Q235 大气腐蚀的 10 个主要因素。单一年份的腐蚀速率相似（约 30 μm/a），大于 2 年（25.30 μm/a）和 3 年（21.66 μm/a）的腐蚀速率。西北地区的空间腐蚀速率主要低于东南沿海地区。这可能受气候因素（如温度、湿度和降水）的影响。所有腐蚀速率均达到 C2 级（＞1.3 μm/a），存在达到更高腐蚀水平的可能性。所有时期 C3 级的最大概率平均为 0.91，C4 级的最大概率为 0.83。从空间上看，高概率主要集中在南部地区，尤其是位于南部且四面环海的海南省。腐蚀速率在气候带间存在较大差异，热带季风气候区的平均腐蚀速率最大（三个时期的平均值为 33.39 μm/a）。SO 和可溶尘降对不同气候区腐蚀速率变化的影响最大。
