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

doi:10.1002/maco.202012120

	Global sensitivity analysis of influence parameters in pitting corrosion behavior of 304 stainless steel using adaptive neuro-fuzzy inference systems
	Xu, Kaixin 1; Sun, Wen 1; Wang, Lida 1; Yang, Zhengqing 1; Wang, Jing 2; Wang, Suilin 3; Liu, Guichanng 1
	2020-11-23
发表期刊	MATERIALS AND CORROSION-WERKSTOFFE UND KORROSION
ISSN	0947-5117
页码	11
通讯作者	Sun, Wen([email protected]) ; Liu, Guichanng([email protected])
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.
关键词	adaptive neuro‐ fuzzy inference system global sensitivity analysis pitting corrosion stainless steels
DOI	10.1002/maco.202012120
收录类别	SCI
语种	英语
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
WOS类目	Materials Science, Multidisciplinary ; Metallurgy & Metallurgical Engineering
WOS记录号	WOS:000591353600001
出版者	WILEY-V C H VERLAG GMBH
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/169193
专题	海洋环境腐蚀与生物污损重点实验室
通讯作者	Sun, Wen; Liu, Guichanng
作者单位	1.Dalian Univ Technol, Dept Chem Engn, Dalian 116024, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Key Lab Marine Environm Corros & Biofouling, Qingdao, Peoples R China 3.Beijing Univ Civil Engn & Architecture, Sch Environm & Energy Engn, Beijing, 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.

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