腐蚀
Rust(编程语言)
图层(电子)
合金
材料科学
合金钢
环境科学
过程(计算)
冶金
复合材料
计算机科学
程序设计语言
操作系统
作者
Bingqin Wang,Yiran Li,Xuequn Cheng,Dawei Zhang,Chao Liu,Xiaolin Wang,Xingyue Yong,Xiaogang Li
标识
DOI:10.1016/j.corsci.2023.111349
摘要
This study utilized a state-of-the-art sensor to gather a big-data set of corrosion on low-alloy steel under six distinct meteorological conditions. Through modeling and calculations, we discovered that the effectiveness of the rust layer is a dynamic process that can be influenced by changes in weather, resulting in unpredictable levels of protection. We determined that prolonged periods of moisture have the most detrimental impact, while higher temperatures have a positive effect. To enhance the accuracy of corrosion assessment, We digitized and incorporated this dynamic process into the model that demonstrates promising results, and emphasized the significance of considering rust layer evolution in corrosion modeling.
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