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Global sensitivity analysis of influence parameters in pitting corrosion behavior of 304 stainless steel using adaptive neuro-fuzzy inference systems

文献类型：期刊论文

作者Xu, Kaixin3; Sun, Wen3; Wang, Lida3; Yang, Zhengqing3; Wang, Jing1; Wang, Suilin2; Liu, Guichanng3
刊名MATERIALS AND CORROSION-WERKSTOFFE UND KORROSION
出版日期2020-11-23
页码11
关键词adaptive neuro‐ fuzzy inference system global sensitivity analysis pitting corrosion stainless steels
ISSN号0947-5117
DOI10.1002/maco.202012120
通讯作者Sun, Wen(sunw@dlut.edu.cn) ; Liu, Guichanng(gchliu@dlut.edu.cn)
英文摘要Pitting corrosion is simultaneously influenced by many parameters. However, conventional experimental methods do not offer information on the relative importance of each parameter to pitting corrosion. Herein, pitting corrosion of 304SS under multiple parameter influences was investigated by the global sensitivity analysis (GSA) based on adaptive neuro-fuzzy inference system (ANFIS). It was applied for the first time in quantitatively analyzing the relative importance of each parameter to pitting corrosion. It was developed in two different systems, based on the experimental data and the published data, respectively. Both results show that ANFIS exhibits a highly accurate prediction result. The GSA based on ANFIS quantitatively analyzes the relative importance of the initiation of pitting corrosion of 304SS for each parameter, and based on the results of GSA, it can also be determined whether the parameter inhibits or promotes pitting corrosion. We believe this method could provide guidance for corrosion research.
资助项目Fundamental Research Funds for the Central Universities[DUT19RC(4)003] ; Beijing Scholars Program[022] ; China Postdoctoral Science Foundation[2017M610177] ; China Postdoctoral Science Foundation[2018T110222] ; Research Fund of Open Studio for Marine Corrosion and Protection, Pilot National Laboratory for Marine Science and Technology[HYFSKF-201804] ; National Natural Science Foundation of China[21703026] ; National Natural Science Foundation of China[21978036] ; National Natural Science Foundation of China[51671047] ; National Natural Science Foundation of China[U1808210]
WOS研究方向Materials Science ; Metallurgy & Metallurgical Engineering
语种英语
WOS记录号WOS:000591353600001
出版者WILEY-V C H VERLAG GMBH
源URL[http://ir.qdio.ac.cn/handle/337002/169192]  
专题海洋研究所_海洋腐蚀与防护研究发展中心
通讯作者Sun, Wen; Liu, Guichanng
作者单位1.Chinese Acad Sci, Inst Oceanol, Key Lab Marine Environm Corros & Biofouling, Qingdao, Peoples R China
2.Beijing Univ Civil Engn & Architecture, Sch Environm & Energy Engn, Beijing, Peoples R China
3.Dalian Univ Technol, Dept Chem Engn, Dalian 116024, Peoples R China
推荐引用方式
GB/T 7714		 Xu, Kaixin,Sun, Wen,Wang, Lida,et al. Global sensitivity analysis of influence parameters in pitting corrosion behavior of 304 stainless steel using adaptive neuro-fuzzy inference systems[J]. MATERIALS AND CORROSION-WERKSTOFFE UND KORROSION,2020:11.
APA Xu, Kaixin.,Sun, Wen.,Wang, Lida.,Yang, Zhengqing.,Wang, Jing.,...&Liu, Guichanng.(2020).Global sensitivity analysis of influence parameters in pitting corrosion behavior of 304 stainless steel using adaptive neuro-fuzzy inference systems.MATERIALS AND CORROSION-WERKSTOFFE UND KORROSION,11.
MLA Xu, Kaixin,et al."Global sensitivity analysis of influence parameters in pitting corrosion behavior of 304 stainless steel using adaptive neuro-fuzzy inference systems".MATERIALS AND CORROSION-WERKSTOFFE UND KORROSION (2020):11.

入库方式： OAI收割

来源：海洋研究所

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