METALS AND METAL MATRIX COMPOSITES |
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Construction Process and Current Development Status of the National Materials Corrosion and Protection Data Center |
WU Weitong, XU Di, CHENG Xuequn*, ZHANG Dawei, LI Xiaogang
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National Materials Corrosion and Protection Data Center, University of Science and Technology Beijing, Beijing 100083, China |
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Abstract Here provides an overview of the construction history, characteristics, and current status of the National Materials Corrosion and Protection Data Center. Under the leadership of the National Science and Technology Commission (NSTC), the National Natural Science Foundation of China (NSFC) group and other platforms, as well as the support of international experience in the construction of distributed national scientific data centers in various industries. The National Materials Corrosion and Protection Data Center has developed into a data center with distributed characteristics based on different atmospheric, soil and seawater environments across the country. The data center obtains real-time continuous corrosion big data through self-developed and designed corrosion monitoring sensors adapted to different environments and adopts a mathematical model for corrosion big data analysis to mine effective information from high-throughput data, and performs calculations, simulation, and simulation modeling of the corrosion process, so as to promote the development of material corrosion field. As one of 20 national science data centers, the National Materials Corrosion and Protection Data Center plays a leading role in promoting the progress of scientific data sharing in the field of materials corrosion and protection, and the project experience of the data center has provided valuable development direction for technology-driven enterprises and made a significant impact on the global materials corrosion field.
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Published: 10 December 2024
Online: 2024-12-10
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Fund:National Key Research and Development Program of China (2021YFB3701701). |
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1 Cao C N. Natural environmental corrosion of chinese materials, China Beijing Chemical Industry Press, China, 2005, pp.98 (in Chinese).
曹楚南. 中国材料的自然环境腐蚀, 化学工业出版社, 2005, pp.98.
2 Pei Z B, Cheng X Q, Yang X J, et al. Journal of Materials Science & Technology, 2021, 64 (20), 214.
3 Pei Z B, Xiao K, Chen L, et al. Metals, 2020, 10 (7), 905.
4 Li X G, Zhang D W, Liu Z Y, et al. Nature, 2015, 527, 441.
5 Pei Z B, Zhang D, Zhi Y, et al. Corrosion Science, 2020, 170 (1), 108697.
6 Wan S, Liao B K, Dong Z H, et al. Transactions of Nonferrous Metals Society of China, 2021, 31 (10), 3024.
7 Zhu Y S, Hu B W, Hu T Y, et al. Measurement, 2023, 208 (28), 112479.
8 Mansfeld F, Kenkel J V. Corrosion Science, 1976, 16 (3), 111.
9 Wang J L, Sun J L. China Basic Science, 2007(2), 36 (in Chinese).
王卷乐, 孙九林. 中国基础科学, 2007(2), 36.
10 Li X G. Bulletin of National Natural Science Foundation of China, 2012, 26(5), 257 (in Chinese).
李晓刚. 中国科学基金, 2012, 26(5), 257.
11 Ye C B. Corrosion & Protecyion in Petrochemical Industry, 2020, 37(1), 41 (in Chinese).
叶春波. 石油化工腐蚀与防护, 2020, 37(1), 41.
12 Katayama H, Noda K, Masuda H, et al. Corrosion Science, 2005, 47(10), 2599.
13 Ma C L, Ma R P, Bai Y H, et al. Equipment Environmental Engineering, 2017, 14(8), 65 (in Chinese).
马长李, 马瑞萍, 白云辉, 等. 装备环境工程, 2017, 14(8), 65.
14 Wang Y H, Lu Z H, Li Y Z, et al. Modern Transmission, 2011(5), 8 (in Chinese).
王永红, 鹿中晖, 李英志, 等. 现代传输, 2011(5), 8.
15 Zhang Y Q, Yu H F, Sun W, et al. Journal of Civil, Architectural & Environmental Engineering, 2010, 32(6), 147 (in Chinese).
张云清, 余红发, 孙伟, 等. 土木建筑与环境工程, 2010, 32(6), 147.
16 Zhang Y F, Wang W, Gang X X, et al. Distribution & Utilization, 2021, 38(9), 64 (in Chinese).
张叶峰, 王雯, 刚宪秀, 等. 供用电, 2021, 38 (9), 64.
17 Yang X J, Yang Y, Sun M H, et al. Journal of Materials Science & Technology, 2022, 104(14), 67.
18 Li Q, Xia X J, Pei Z B, et al. npj Materials Degradation, 2022, 6, 1.
19 Yang L, Yang X J, Wang B, et al. Journal of Materials Research and Technology, 2023, 25 (7), 3624.
20 Xu D, Yang X J, Li Q, et al. Journal of Chinese Society for Corrosion and Protection, 2022, 42(3), 447 (in Chinese).
徐迪, 杨小佳, 李清, 等. 中国腐蚀与防护学报, 2022, 42(3), 447.
21 Wei X, Fu D M, Chen M D, et al. Journal of Materials Science & Technology, 2021 64(11), 222.
22 Bengio Y S. Foundations and Trends© in Machine Learning, 2009, 2(1), 1.
23 Fang S F, Wang M P, Qi W H, et al. Computational Materials Science, 2009, 44 (2), 647.
24 Pei Z B, Zhang D W, Zhi Y, et al. Corrosion Science, 2020, 170 (1), 108697.
25 Zhao X F, Fu D M, Pei Z B, et al. Corrosion and Protection, 2018, 39(10), 805 (in Chinese).
赵兴锋, 付冬梅, 裴梓博, 等. 腐蚀与防护, 2018, 39(10), 805.
26 Xu Q. Study on corrosion grade discrimination and material selection method based on Bayes and influence diagram, Master's Thesis, University of Science and Technology Beijing, China, 2013 (in Chinese).
徐庆. 基于Bayes和影响图的腐蚀等级判别及选材的方法研究. 硕士学位论文, 北京科技大学, 2013.
27 Gao J, Li C, Lv Z, et al. Progress in Organic Coatings, 2019, 132 (7), 362.
28 Paturi U M R, Material Today: Proceedings, 2021, 38(5), 2764.
29 Wu D Q, Zhang D W, Liu S P, et al. Chemical Engineering Journal, 2020, 399(1), 125878. |
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