Accelerated life testing of reinforced concrete based on performance degradation and reliability modeling

doi:10.1061/(ASCE)MT.1943-5533.0002225

CORC > 兰州理工大学 > 兰州理工大学 > 土木工程学院

	Accelerated life testing of reinforced concrete based on performance degradation and reliability modeling
	Qiao, Hongxia 1; Zhu, Binrong 1; Feng, Qiong 1; Desire, Ndahirwa 1; Dong, Jinmei 2
刊名	Journal of Materials in Civil Engineering
	2018-05-01
卷号	30 期号:5
关键词	Concrete construction Concrete testing Deterioration Durability Electrolytes Electron emission Random processes Rebar Reliability Scanning electron microscopy Software testing Soil testing Soils Spectrometers Steel corrosion Stochastic models Stochastic systems Underground corrosion X ray photoelectron spectroscopy Accelerated life testing Constant current Corrosion current densities Electrochemical techniques Energy dispersive spectrometers Performance degradation Reliability functions Wiener process
ISSN号	08991561
DOI	10.1061/(ASCE)MT.1943-5533.0002225
英文摘要	This paper proposes a design for a testing program for accelerated life testing of reinforced concrete in the sulfite saline soil area. According to the situation of saline soil area, a constant current was used to accelerate the corrosion of steel rebar, and the wet sand with complex salt solution was used as electrolyte. The accelerated life testing was carried out, and a certain amount of accelerated life data was collected using electrochemical technique. By using scanning electron microscopy (SEM), energy dispersive spectrometer (EDS), and X-ray photoelectron spectroscopy (XPS), the microstructure and composition of corrosion products were analyzed. According to present codes, the critical corrosion current density of reinforced concrete was obtained. The linear model and exponential model were used to fit the average value of data corresponding to each time point respectively. Furthermore, based on the Wiener stochastic process, a reliability model for the degradation of reinforced concrete was established, and the accelerated life of reinforced concrete specimens was predicted. The results showed that the experimental scheme can effectively simulate the natural corrosion state of steel rebar in the sulfite saline soil area of western China. Corrosion current density can be used as the key factor for the durability deterioration of reinforced concrete specimens, and it can be used to judge the corrosion state of the reinforced concrete. Wiener stochastic process can effectively describe the durability degradation process of reinforced concrete specimens. By integrating the life data of the degradation process, the accelerated life reliability function established by this method can directly reflect the accelerated life of the specimen. The method is simple in calculation, and has certain value of popularization and application. © 2018 American Society of Civil Engineers.
资助项目	National Natural Science Foundation of China[51468039] ; National Natural Science Foundation of China[51168031]
WOS研究方向	Construction & Building Technology ; Engineering ; Materials Science
语种	英语
出版者	American Society of Civil Engineers (ASCE), United States
WOS记录号	WOS:000427963900003
状态	已发表
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/114745]
专题	土木工程学院
通讯作者	Qiao, Hongxia
作者单位	1.Lanzhou Univ Technol, Key Lab Disaster Prevent & Mitigat Civil Engn Gan, Lanzhou 730050, Gansu, Peoples R China 2.Chinese Acad Sci, Qinghai Inst Salt Lakes, Xining 810008, Peoples R China
推荐引用方式 GB/T 7714	Qiao, Hongxia,Zhu, Binrong,Feng, Qiong,et al. Accelerated life testing of reinforced concrete based on performance degradation and reliability modeling[J]. Journal of Materials in Civil Engineering,2018,30(5).
APA	Qiao, Hongxia,Zhu, Binrong,Feng, Qiong,Desire, Ndahirwa,&Dong, Jinmei.(2018).Accelerated life testing of reinforced concrete based on performance degradation and reliability modeling.Journal of Materials in Civil Engineering,30(5).
MLA	Qiao, Hongxia,et al."Accelerated life testing of reinforced concrete based on performance degradation and reliability modeling".Journal of Materials in Civil Engineering 30.5(2018).