Developing a regional environmental corrosion model for Q235 carbon steel using a data-driven construction method
Studying the impact of the environment on metal corrosion is of considerable significance for the safety assessment of buildings and the life prediction of equipment. We developed a new regional environmental corrosion model (RECM) to predict the atmospheric corrosion of Q235 carbon steel based on m...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-12-01
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| Series: | Frontiers in Materials |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmats.2022.1084324/full |
| _version_ | 1811177952849690624 |
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| author | Yufan Li Yufan Li Dongmei Fu Dongmei Fu Dongmei Fu Xuequn Cheng Dawei Zhang Dawei Zhang Yunxiang Chen Wenkui Hao Yun Chen Bingkun Yang |
| author_facet | Yufan Li Yufan Li Dongmei Fu Dongmei Fu Dongmei Fu Xuequn Cheng Dawei Zhang Dawei Zhang Yunxiang Chen Wenkui Hao Yun Chen Bingkun Yang |
| author_sort | Yufan Li |
| collection | DOAJ |
| description | Studying the impact of the environment on metal corrosion is of considerable significance for the safety assessment of buildings and the life prediction of equipment. We developed a new regional environmental corrosion model (RECM) to predict the atmospheric corrosion of Q235 carbon steel based on measured environmental data and corrosion rates obtained from one-year-long static coupon tests. The corrosion of metals varies depending on the environment; therefore, the ability of the model to distinguish such differences is crucial for accurately predicting corrosion. Herein, the regions in which the test sites were located were divided based on the basic principles of atmospheric corrosion. Furthermore, random forest was used to assess the importance of various environmental factors in the corrosion process within each region, which established a close relationship between corrosion and environmental conditions. Our results showed that the accuracy of the RECM is higher than that of the dose-response function of the ISO9223-2012 standard. The method of model construction can be realized automatically using a computer. |
| first_indexed | 2024-04-11T06:11:06Z |
| format | Article |
| id | doaj.art-a55f68fd18c0488f86105a3ef3812cbf |
| institution | Directory Open Access Journal |
| issn | 2296-8016 |
| language | English |
| last_indexed | 2024-04-11T06:11:06Z |
| publishDate | 2022-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Materials |
| spelling | doaj.art-a55f68fd18c0488f86105a3ef3812cbf2022-12-22T04:41:17ZengFrontiers Media S.A.Frontiers in Materials2296-80162022-12-01910.3389/fmats.2022.10843241084324Developing a regional environmental corrosion model for Q235 carbon steel using a data-driven construction methodYufan Li0Yufan Li1Dongmei Fu2Dongmei Fu3Dongmei Fu4Xuequn Cheng5Dawei Zhang6Dawei Zhang7Yunxiang Chen8Wenkui Hao9Yun Chen10Bingkun Yang11Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, ChinaNational Materials Corrosion and Protection Data Center, University of Science and Technology Beijing, Beijing, ChinaBeijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, ChinaNational Materials Corrosion and Protection Data Center, University of Science and Technology Beijing, Beijing, ChinaShunde Graduate School of University of Science and Technology Beijing, Fo Shan, ChinaInstitute of Advanced Materials and Technology, University of Science and Technology Beijing, Beijing, ChinaNational Materials Corrosion and Protection Data Center, University of Science and Technology Beijing, Beijing, ChinaBeijing Advanced Innovation Center for Materials Genome Engineering, Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing, ChinaElectric Power Research Institute of State Grid Fujian Electric Power Company Limited, Fuzhou, ChinaState Key Laboratory of Advanced Power Transmission Technology, State Grid Smart Grid Research Institute Co., Ltd., Beijing, ChinaState Key Laboratory of Advanced Power Transmission Technology, State Grid Smart Grid Research Institute Co., Ltd., Beijing, ChinaState Key Laboratory of Advanced Power Transmission Technology, State Grid Smart Grid Research Institute Co., Ltd., Beijing, ChinaStudying the impact of the environment on metal corrosion is of considerable significance for the safety assessment of buildings and the life prediction of equipment. We developed a new regional environmental corrosion model (RECM) to predict the atmospheric corrosion of Q235 carbon steel based on measured environmental data and corrosion rates obtained from one-year-long static coupon tests. The corrosion of metals varies depending on the environment; therefore, the ability of the model to distinguish such differences is crucial for accurately predicting corrosion. Herein, the regions in which the test sites were located were divided based on the basic principles of atmospheric corrosion. Furthermore, random forest was used to assess the importance of various environmental factors in the corrosion process within each region, which established a close relationship between corrosion and environmental conditions. Our results showed that the accuracy of the RECM is higher than that of the dose-response function of the ISO9223-2012 standard. The method of model construction can be realized automatically using a computer.https://www.frontiersin.org/articles/10.3389/fmats.2022.1084324/fullatmospheric corrosionenvironment relateddata-drivenregional modelcomputerization |
| spellingShingle | Yufan Li Yufan Li Dongmei Fu Dongmei Fu Dongmei Fu Xuequn Cheng Dawei Zhang Dawei Zhang Yunxiang Chen Wenkui Hao Yun Chen Bingkun Yang Developing a regional environmental corrosion model for Q235 carbon steel using a data-driven construction method Frontiers in Materials atmospheric corrosion environment related data-driven regional model computerization |
| title | Developing a regional environmental corrosion model for Q235 carbon steel using a data-driven construction method |
| title_full | Developing a regional environmental corrosion model for Q235 carbon steel using a data-driven construction method |
| title_fullStr | Developing a regional environmental corrosion model for Q235 carbon steel using a data-driven construction method |
| title_full_unstemmed | Developing a regional environmental corrosion model for Q235 carbon steel using a data-driven construction method |
| title_short | Developing a regional environmental corrosion model for Q235 carbon steel using a data-driven construction method |
| title_sort | developing a regional environmental corrosion model for q235 carbon steel using a data driven construction method |
| topic | atmospheric corrosion environment related data-driven regional model computerization |
| url | https://www.frontiersin.org/articles/10.3389/fmats.2022.1084324/full |
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