Experimental study on seawater-pipeline internal corrosion monitoring system

被引:36
作者
Huang, Yi [1 ]
Ji, Dawei [1 ]
机构
[1] Dalian Univ Technol, Sch Naval Architecture & Ocean Engn, Dalian 116024, Peoples R China
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
Corrosion capability; Internal-pipeline; On-line monitoring; Amendatory correlation coefficient; Non-linear relationship;
D O I
10.1016/j.snb.2008.09.008
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In this paper, a Cu-Zn galvanic sensor is developed for the internal-pipeline corrosion on-line monitoring system, in which the internal-pipeline corrosion state is grasped based on monitoring the corrosion capability of the internal electrolyte environment. The galvanic corrosion behaviors of the sensor in a Simulated seawater environment are investigated using a 50-m-long pipeline in the laboratory. After long-term test and analysis, the effective working period of the sensor is confirmed, and the influence caused by the oxidative film on the electrode working face is eliminated by an amendatory correlation coefficient relating to the electrolyte flow rate and the temperature. A complex and non-linear relationship, among the electric current of the galvanic sensor, flow rate and temperature of the electrolyte, the concentration of dissolved oxygen (DO) in pipeline, is acquired. Finally, back-propagation artificial neural network (BP-ANN) is employed to estimate the concentration of DO of the electrolyte according to the measured factors Such as the electric Current of the galvanic sensor, flow rate and temperature of the internal electrolyte. Based on the comparison between corrosion Coupons test and monitoring system, it is affirmed that a more reasonable evaluation of internal-pipeline corrosion can be proposed in the monitoring system. Crown Copyright (C) 2008 Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:375 / 380
页数:6
相关论文
共 20 条
[1]   EIS studies of a corrosion inhibitor behavior under multiphase flow conditions [J].
Chen, Y ;
Hong, T ;
Gopal, M ;
Jepson, WP .
CORROSION SCIENCE, 2000, 42 (06) :979-990
[2]   Sensor for oxygen evaluation in concrete [J].
Correia, MJ ;
Pereira, EV ;
Salta, MM ;
Fonseca, ITE .
CEMENT & CONCRETE COMPOSITES, 2006, 28 (03) :226-232
[3]   Study of molten salt corrosion of HK-40m alloy applying linear polarization resistance and conventional weight loss techniques [J].
Cuevas-Arteaga, C ;
Uruchurtu-Chavarín, J ;
Porcayo-Calderon, J ;
Izquierdo-Montalvo, G ;
Gonzalez, J .
CORROSION SCIENCE, 2004, 46 (11) :2663-2679
[4]  
GABRIELE R, 1999, CORROS SCI, V41, P2353
[5]  
Haykin S., 1999, Neural networks: a comprehensive foundation, V2nd ed.
[6]   Monitoring corrosion rates and localised corrosion in low conductivity water [J].
Hilbert, L. R. .
CORROSION SCIENCE, 2006, 48 (12) :3907-3923
[7]   Formation of magnetite in the presence of ferric oxyhydroxides [J].
Ishikawa, T ;
Kondo, Y ;
Yasukawa, A ;
Kandori, K .
CORROSION SCIENCE, 1998, 40 (07) :1239-1251
[8]  
JIN Y, 2001, PETROCHEMICAL CORROS, V18, P13
[9]  
KLEIN L.A., 1999, SENSOR DATA FUSION C
[10]   Electrochemical impedance characteristics of pure Al and Al-Sn alloys in NaOH solution [J].
Lee, KK ;
Kim, KB .
CORROSION SCIENCE, 2001, 43 (03) :561-575