文献类型：期刊文献

英文题名：Drift correction for in situ resistance monitoring of atmospheric corrosion of E690 steel in a tropical marine environment

作者：Hu, Jiezhen[1,2,3];Wu, Fangming[1];Zeng, Junhao[1];Deng, Peichang[2,4];Hou, Mingxin[1];Lin, Kaitao[4]

机构：[1]Guangdong Ocean Univ, Coll Mech Engn, Zhanjiang 524088, Peoples R China;[2]Zhanjiang Key Lab Corros & Protect Ocean Engn Equ, Zhanjiang 524088, Peoples R China;[3]Guangdong Prov Ocean Equipment & Mfg Engn Technol, Zhanjiang 524088, Peoples R China;[4]Guangdong Ocean Univ, Coll Chem & Environm, Zhanjiang 524088, Peoples R China

年份：2026

卷号：21

期号：9

外文期刊名：INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE

收录：SCI-EXPANDED(收录号：WOS:001839888200001)、、Scopus(收录号：2-s2.0-105046237120)、WOS

基金：The authors were sincerely grateful for the financial support from the Natural Science Foundation of China (No. 51801033) , the Natural Sci-ence Foundation of Guangdong Province (No. 2021A1515012129) and the Project of Guangxi Zhuang Autonomous Region Key Technologies R & D Program (GK AB23026069) .

语种：英文

外文关键词：Atmospheric corrosion; E690 steel; Four-wire resistance monitoring; Resistance-derived corrosion index; Data-driven drift correction; Singular spectrum analysis

外文摘要：Atmospheric corrosion of high-strength steels in tropical marine environments is strongly affected by temperature and humidity fluctuations, which can obscure corrosion-induced changes in long-term electrical-resistance signals. In this study, a four-wire in situ resistance monitoring method combined with data-driven drift correction was applied to evaluate the atmospheric corrosion evolution of E690 steel during a six-month outdoor exposure in Zhanjiang, China. The E690 steel coupon itself was used as the resistance-sensing element, and the four-wire configuration was adopted to reduce the influence of lead and contact resistance. Temperature-based K-means clustering was used to divide the resistance data into thermally consistent subsets, and singular spectrum analysis was subsequently applied to reconstruct the slowly varying corrosion-related resistance trend. The corrected resistance-ratio signal showed an evolutionary trend consistent with the gravimetric mass-loss and open-circuit potential results. The resistance-derived corrosion index was higher than the gravimetric corrosion rate, with an empirical average ratio of 1.75 based on the present dataset (95% confidence interval: 1.63-1.86), indicating the higher sensitivity of electrical resistance to effective conductive cross-section loss and current-path redistribution. After empirical scaling, the resistance-derived results showed improved agreement with the mass-loss data. The coefficient obtained in this study should be regarded as an empirical, dataset-specific scaling relationship for the investigated steel grade, specimen geometry, exposure environment, and monitoring system, rather than as a generally applicable calibration model. The proposed method provides a practical approach for long-term in situ monitoring of atmospheric corrosion of high-strength steel under fluctuating tropical marine conditions.