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| CLUSTER ANALYSIS OF ELECTROCHEMICAL NOISE FOR X70 STEEL IN KU'ERLE SOIL |
| HUANG Jiayi; QIU Yubing; GUO Xingpeng |
| State Key Laboratory of Materials Chemistry and Service Failure; Department of Chemistry and Chemical Engineering; Huazhong University of Science and Technology; Wuhan 430074 |
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Abstract The corrosion behaviors of X70 steels in Xinjiang Ku'erle saline soil (moisture content 1.04%) during the initial corrosion period (0~7 days) were studied by electrochemical noise (EN). The characteristics of the EN time records and their related corrosion information were identified by analysis of the EN fluctuations, statistical parameters including standard deviation of potential and current (σE, σ I) and noise resistance (Rn), as well as Q-type clustering, which was further proved by corrosion morphology and electrochemical impedance spectroscopy (EIS) results. The results show that cluster analysis could be used to treat the EN signals to identify different corrosion states. Based on the hierarchical agglomerative cluster using σE and σ I as variables, three different states for the local corrosion in the studied system could be classified clearly, including instable germination state, quick development state and stable development state.
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Received: 20 March 2008
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