Exploring the Emerging Evolution Trends of Probabilistic Service Life Prediction of Reinforced Concrete Structures in the Chloride Environment by Scientometric Analysis

被引:6
作者
Zhang, Junzhi [1 ,2 ]
Wang, Meng [1 ]
Zhou, Xiaoyun [1 ]
Yu, Weilong [1 ]
Gao, Yanhong [1 ]
Zhang, Yurong [1 ,2 ]
机构
[1] Zhejiang Univ Technol, Coll Civil Engn, Hangzhou 310014, Peoples R China
[2] Key Lab Civil Engn Struct Disaster Prevent & Miti, Hangzhou 310014, Peoples R China
基金
中国国家自然科学基金;
关键词
TIME-DEPENDENT RELIABILITY; INDUCED CORROSION; DIFFUSION-COEFFICIENT; SENSITIVITY-ANALYSIS; INITIATION; MODEL; STEEL; PUBLICATION; DURABILITY; INGRESS;
D O I
10.1155/2021/8883142
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
To reveal the global picture and emerging evolution trends with sufficiently large literature data of RC structure's service life prediction, especially the time to corrosion initiation, the scientometric analysis on the corresponding evolution trends was performed by using visualization software CiteSpace and VOSviewer in this paper. First, the application of CiteSpace and VOSviewer and retrieval strategy for data collection were described. And then, information visualization analysis was carried out based on the papers related to RC structure's service life evaluation from publications number evolution, journal distribution, and authors' contribution. Finally, document cocitation network, cooccurring keywords network, and timeline view of keywords network were conducted to discuss the research hotspots on time to corrosion initiation evaluation of reinforcement. Research results reveal that the number of publications on RC structure's service life evaluation reached its peak in 2011. Besides, Structural Safety is the journal that makes the most significant contributions, and Professor Li CQ is the author with the most contribution score. Moreover, the knowledge body of the time to corrosion initiation prediction consists of six clusters; the high-citation articles in this field mainly focus on the multiple-parameters model and probabilistic reliability method.
引用
收藏
页数:14
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