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Reliability life analysis of reinforced concrete in a salt corrosion environment based on a three-parameter Weibull distribution
Lu CG(路承功)1; Wei ZQ(魏智强)2; Qiao HX(乔宏霞)1,3; Li K(李刊)1
2021-04-25
发表期刊Gongcheng Kexue Xuebao/Chinese Journal of Engineering
ISSN2095-9389
卷号43期号:4页码:512-520
摘要To study the corrosion law and life distribution of reinforced concrete in a coupled salt environment, the reinforced concrete specimens were placed in 0.32 mol·L−1 NaCl and 0.4 mol·L−1 MgSO4 salt solutions. The performance of reinforced concrete was tested regularly using an electrochemical workstation. The durability was analyzed through a polarization curve, an AC impedance spectrum, and electrochemical parameters. A three-parameter Weibull distribution was selected for reliability modeling, and a prior false test was performed by the Anderson-Darling (A-D) method. The parameters were estimated by the correlation coefficient optimization method (CCOM), maximum likelihood method (MLM), and moment estimation method (MEM). The reliability curve, density curve, and failure rate curve were each used to analyze the life of reinforced concrete in chloride, sulfate, and magnesium-based corrosion environments. Results show that under the combined action of corrosion ions, the polarization curve gradually moves toward increasing corrosion current density and negative potential, and the AC impedance spectrum moves to the left and shrinks to the real part of the impedance. The resistance of steel bar corrosion gradually decreases whereas the probability gradually increases. The reliability curve is unchanged at the initial stage and rapidly decreases at the later stage. The density curve is symmetric with a single peak, and the failure rate curve remains unchanged at the initial stage and increases linearly at the later stage. Among the three-parameter estimation methods, CCOM and MLM parameter estimation values are similar, stable, and accurate, and the obtained reliability curves are similar. It is suggested that CCOM and MLM should be used for parameter estimation and reliability analysis of small sample failure data that is obtained from an accelerated test of reinforced concrete. The reliability life of C35 reinforced concrete in magnesium sulfate and sodium chloride corrosion environments is about 760 d. Copyright ©2021 Chinese Journal of Engineering. All rights reserved.
关键词Concrete construction Concrete testing Electric impedance Environmental regulations Failure analysis Magnesium compounds Maximum likelihood estimation Parameter estimation Polarization Reliability analysis Sodium chloride Steel corrosion Sulfur compounds Weibull distribution AC impedance spectrums Correlation coefficient optimization methods Corrosion current densities Corrosion environments Electrochemical parameters Maximum likelihood methods Moment estimation method Three parameter Weibull distribution
DOI10.13374/j.issn2095-9389.2020.03.04.001
收录类别EI
语种中文
出版者Science Press
EI入藏号20211410179251
EI主题词Reinforced concrete
EI分类号412 Concrete ; 454.2 Environmental Impact and Protection ; 539.1 Metals Corrosion ; 701.1 Electricity: Basic Concepts and Phenomena ; 922 Statistical Methods ; 922.2 Mathematical Statistics
引用统计
文献类型期刊论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/148448
专题理学院
土木工程学院
通讯作者Qiao HX(乔宏霞)
作者单位1.兰州理工大学土木工程学院;
2.兰州理工大学理学院;
3.兰州理工大学西部土木工程防灾减灾教育部工程研究中心
第一作者单位土木工程学院
通讯作者单位土木工程学院;  甘肃省土木工程防灾减灾重点实验室
第一作者的第一单位土木工程学院
推荐引用方式
GB/T 7714
Lu CG,Wei ZQ,Qiao HX,et al. Reliability life analysis of reinforced concrete in a salt corrosion environment based on a three-parameter Weibull distribution[J]. Gongcheng Kexue Xuebao/Chinese Journal of Engineering,2021,43(4):512-520.
APA 路承功,魏智强,乔宏霞,&李刊.(2021).Reliability life analysis of reinforced concrete in a salt corrosion environment based on a three-parameter Weibull distribution.Gongcheng Kexue Xuebao/Chinese Journal of Engineering,43(4),512-520.
MLA 路承功,et al."Reliability life analysis of reinforced concrete in a salt corrosion environment based on a three-parameter Weibull distribution".Gongcheng Kexue Xuebao/Chinese Journal of Engineering 43.4(2021):512-520.
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