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Regression Model of Factors Influencing the Corrosion Rate of X80 Steel in Silt Based on an Orthogonal Test

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Abstract

This paper reports a study on the influence of soil environmental factors on the corrosion of underground pipeline steel. By designing a three-factor and three-level orthogonal experiment, the correlations between three typical soil environmental factors, temperature, Cl− salt content and SO42− salt content, and the corrosion rate of pipeline steel were analysed. According to the range analysis, the main controlling factor is temperature, and the optimal solution, that is, the highest corrosion rate of pipeline steel, is when the Cl− salt content is 2.0%, the SO42− salt content is 0.3%, and the temperature is 10 °C. Considering the influence of the above three factors on the corrosion rate of steel samples, five regression models were established to analyze the sensitivity and influence degree of the three factors on the corrosion rate. Compared with the multiple primary regression model, the multiple quadratic regression model obtained an average relative error of only 2.62%, indicating certain feasibility of the model. The corrosion rate of steel samples was positively correlated with the temperature and the salt content of Cl−, that is, the higher the ambient temperature, the higher the salt content of Cl−, and the faster the corrosion. It also showed a first upward-then downward trend with the salt content of SO42−, that is, when the salt content of SO42− increased to a certain value, the occurrence of corrosion would be inhibited. The residual analysis indicated that the influence of the salt content of SO42− on the corrosion rate was not significant. Establishment of a corrosion prediction model has certain theoretical significance and application value to improve the reliability of underground pipelines, prolong the service life of pipelines, reduce production costs, and ensure life safety and economic benefits.

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Acknowledgments

The authors gratefully acknowledge financial support from the National Natural Science Foundation of China (No.41807256) and Natural Science Foundation of Shanxi Province (No.20210302123139), the Open Research Fund of State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences (No.Z017003), the PhD research launch project of Jinzhong University, the Scientific and technological innovation projects of colleges and universities in Shanxi Province, and the Opening Project of Sichuan University of Science and Engineering, Material Corrosion and Protection Key Laboratory of Sichuan province (No.2020CL13).

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Authors and Affiliations

  1. College of Civil Engineering, Taiyuan University of Technology, West Yingze Street 79, Taiyuan, 030024, People’s Republic of China

    Yuting Wang, Pengju Han, Funan Sun & Xiangling Bai

  2. Mechanics Institute, Jinzhong University, Jinzhong, 030619, People’s Republic of China

    Ruizhen Xie

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  1. Yuting Wang
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  2. Pengju Han
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Correspondence to Pengju Han.

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Wang, Y., Han, P., Sun, F. et al. Regression Model of Factors Influencing the Corrosion Rate of X80 Steel in Silt Based on an Orthogonal Test. J. of Materi Eng and Perform 32, 5211–5220 (2023). https://doi.org/10.1007/s11665-022-07458-0

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