CORRELATION BETWEEN SEAWATER ENVIRONMENTAL FACTORS AND MARINE CORROSION RATE USING ARTIFICIAL NEURAL NETWORK ANALYSIS

J Chin Soc Corr Pro

2005, Vol. 25

Issue (1): 11-14 DOI:

Research Report

Current Issue | Archive | Adv Search

CORRELATION BETWEEN SEAWATER ENVIRONMENTAL FACTORS AND MARINE CORROSION RATE USING ARTIFICIAL NEURAL NETWORK ANALYSIS

Xueqing Liu;Xiao Tang;Jia Wang

山东青岛中科院海洋研究所

Download:

PDF(124KB)
Export: BibTeX | EndNote (RIS)

Abstract Seawater environmental factors are important to corrosion rate of metals, however,because of the complecity of relationship between environmental factors,it is difficult to describe the relationship by a certain definitive function.Artificial neural network (ANN)has great capability of simulating polynary nonlinear system,and it is suitable to deal with complex data.Corrosion rate of 3C steel in differert seawater environmental factors was measured by electrochemical methods.A four - layer - BP - ANN was set up and dealt with above data. The relative error between results calculated and measured was small, which showed that ANN was suitable to apply in the field of marine corrosion.

Key words: seawater environmental factor corrosion rate artificial neural network

Received: 11 August 2003

ZTFLH:

TG172.5

Corresponding Authors: Xueqing Liu

	Service

	E-mail this article
	Add to citation manager
	E-mail Alert
	RSS
	（）
	Articles by authors
	Xueqing Liu
	Xiao Tang
	Jia Wang

Cite this article:

Xueqing Liu; Xiao Tang; Jia Wang. CORRELATION BETWEEN SEAWATER ENVIRONMENTAL FACTORS AND MARINE CORROSION RATE USING ARTIFICIAL NEURAL NETWORK ANALYSIS. J Chin Soc Corr Pro, 2005, 25(1): 11-14 .

URL:

https://www.jcscp.org/EN/ OR https://www.jcscp.org/EN/Y2005/V25/I1/11

[1]WangGY ,WangHJ ,LiXL ,YinYD .CorrosionandProtectionintheNaturalEnvironment[M ].Beijing:ChemicalIndustryPress,1997:90-107(王光雍,王海江,李兴濂,银耀德.自然环境的腐蚀与防护—大气·海水·土壤[M].北京:化学工业出版社,1997:90-107)
[2]ChenNY ,QinP ,ChenRL ,LuWC .ApplicationofPatternRecognitionMethodinChemistryandChemicalEngineering[M ].Beijing:SciencePress,2000:71-80(陈念贻,钦佩,陈瑞亮,陆文聪.模式识别方法在化学化工中的应用[M ].北京:科学出版社,2000:71-80)
[3]GuoZH ,XingZL ,JinMH ,MengSL .Predictingcorrosionrateofmildsteelinsoilbasedonartificialneuralnetwork[J].J.Chin.Soc.Corros.Prot.,1996,16(4):307-310(郭稚弧,邢政良,金名慧,孟厦兰.基于人工神经网络的金属土壤腐蚀预测方法[J].中国腐蚀与防护学报,1996,16(4):307-310)
[4]KongDY ,SongSZ .Analysisofcorrosiondataforcarbonsteelandlow-alloysteelsinseawaterbyartificialneuralnetwork[J].J .Chin.Soc.Corros.Prot.,1998,18(4):289-296(孔德英,宋诗哲.人工神经网络技术探讨碳钢、低合金钢的实海腐蚀规律[J].中国腐蚀与防护学报,1998,18(4):289—296)
[5]QiLH ,ZhangJQ .Relationbetweenstructureandefficiencyofin hibitorsinacidsolutionstudiedbyartificialneuralnetwork[J].Cor ros.Sci.Prot.Technol.,2001,13(1):24-28(齐连慧,张继群.基于神经网络的酸洗缓蚀剂构效关系研究[J].腐蚀科学与防护技术,2001,13(1):24—28)
[6]ZhangNY ,YanPF .NeuralNetworksandFuzzyControl[M ].Bei jing:TsinghuaUniversityPress,2000(张乃尧,阎平凡.神经网络与模糊控制[M ].北京:清华大学出版社,2000)

[1]	JIA Shichao, GAO Jiaqi, GUO Hao, WANG Chao, CHEN Yangyang, LI Qi, TIAN Yimei. Influence of Water Quality on Corrosion of Cast Iron Pipe in Reclaimed Water[J]. 中国腐蚀与防护学报, 2020, 40(6): 569-576.
[2]	ZHAO Guoxian,HUANG Jing,XUE Yan. Corrosion Behavior of Materials Used for Surface Gathering and Transportation Pipeline in an Oilfield[J]. 中国腐蚀与防护学报, 2019, 39(6): 557-562.
[3]	Yongwei SUN,Yuping ZHONG,Lingshui WANG,Fangxiong FAN,Yatao CHEN. Corrosion Behavior of Low-alloy High Strength Steels in a Simulated Common SO₂-containing Atmosphere[J]. 中国腐蚀与防护学报, 2019, 39(3): 274-280.
[4]	Li LIU,Sirong YU. Effect of Gd Addition on Corrosion Behavior of AM60 Magnesium Alloy[J]. 中国腐蚀与防护学报, 2019, 39(2): 185-191.
[5]	Yang LI, Chengyuan LI, Xu CHEN, Jiaxing YANG, Xintong WANG, Nanxi MING, Zhenze HAN. Gray Relationship Analysis on Corrosion Behavior of Super 13Cr Stainless Steel in Environments of Marine Oil and Gas Field[J]. 中国腐蚀与防护学报, 2018, 38(5): 471-477.
[6]	Baohui GUO, Youxu QIU, Hailong LI. Application of Artificial Neural Network for Preparation Process of Ni-SiC Composite Coatings on Ti-Alloy TA15[J]. 中国腐蚀与防护学报, 2017, 37(4): 389-394.
[7]	Fengxuan SONG,Qizhong ZHAO,Feilong LI,Yuelu REN,Kui HUANG,Xinming ZHANG. Effect of Aging Treatment on Corrosion Rate of 7050 Al-alloy Plate[J]. 中国腐蚀与防护学报, 2017, 37(3): 287-292.
[8]	Ming ZHU,Yong YU,Huihui ZHANG. Corrosion Behavior of L245 Steel in Simulated Oilfield Produced Water at Different Temperatures[J]. 中国腐蚀与防护学报, 2017, 37(3): 300-304.
[9]	Ziyang ZHANG,Shanlin WANG,Hengyu ZHANG,Liming KE. Corrosion Behavior of Joints of Mg-alloy AZ31 Fabricated by Friction Stir Welding[J]. 中国腐蚀与防护学报, 2017, 37(2): 117-125.
[10]	Qiang BAI,Yan ZOU,Xiangfeng KONG,Yang GAO,Yan LIU,Sheng DONG. Electrochemical Corrosion Behavior in Seawater of Weld Joints of CCSE40 Steel Prepared by Underwater WetWelding with Austenitic Welding Rod[J]. 中国腐蚀与防护学报, 2016, 36(5): 427-432.
[11]	Chunxia WANG,Jingping CHEN,Xiaohong ZHANG,Chengyin WANG. Corrosion Inhibition of Octyl Isoquinolinium Bromide on Q235 Carbon Steel in HCl Solution[J]. 中国腐蚀与防护学报, 2016, 36(3): 245-252.
[12]	Yucheng ZHANG,Xinhua JU,Xiaolu PANG,Kewei GAO. Effect of O₂ Concentration on Corrosion Rate of Steels in Supercritical CO₂[J]. 中国腐蚀与防护学报, 2015, 35(3): 220-226.
[13]	ZHOU Nianguang, ZHA Fanglin, FENG Bing, HE Tiexiang. Application of Electrochemical Frequency Modulation for Study of Q235 Steel Corrosion in NaCl Solution[J]. 中国腐蚀与防护学报, 2014, 34(5): 445-450.
[14]	LIU Zhiyong, JIA Jinghuan, DU Cuiwei, LI Xiaogang, WANG Liying. Corrosion Behavior of X80 and X52 Steels in Simulated Seawater Environments[J]. 中国腐蚀与防护学报, 2014, 34(4): 327-332.
[15]	ZHU Min, DU Cuiwei, LI Xiaogang, LIU Zhiyong, WANG Liye. Effects of Alternating Current (AC) Frequency on Corrosion Behavior of X80 Pipeline Steel in a Simulated Acid Soil Solution[J]. 中国腐蚀与防护学报, 2014, 34(3): 225-230.

No Suggested Reading articles found!

Viewed

Full text

Abstract

Cited

Shared

Discussed