Updating deterioration models of reinforced concrete structures in carbonation environment using in-situ inspection data

2020 ◽  
pp. 1-12
Author(s):  
Hui Gu ◽  
Quanwang Li
Keyword(s):  
Reinforced Concrete ◽  
Concrete Structures ◽  
Reinforced Concrete Structures ◽  
Inspection Data

Multiprobe chloride sensor for in situ monitoring of reinforced concrete structures

2006 ◽  
Vol 28 (3) ◽  
pp. 233-236 ◽  
Author(s):  
M.F. Montemor ◽  
J.H. Alves ◽  
A.M. Simões ◽  
J.C.S. Fernandes ◽  
Z. Lourenço ◽  
...  
Keyword(s):  
Reinforced Concrete ◽  
Concrete Structures ◽  
In Situ Monitoring ◽  
Reinforced Concrete Structures

A novel in-situ corrosion monitoring electrode for reinforced concrete structures

2018 ◽  
Vol 259 ◽  
pp. 1129-1144 ◽  
Author(s):  
Karthick Subbiah ◽  
Saraswathy Velu ◽  
Seung-Jun Kwon ◽  
Han-Seung Lee ◽  
Natarajan Rethinam ◽  
...  
Keyword(s):  
Reinforced Concrete ◽  
Concrete Structures ◽  
Corrosion Monitoring ◽  
Reinforced Concrete Structures

scholarly journals Estimation of Concrete Carbonation Depth Considering Multiple Influencing Factors on the Deterioration of Durability for Reinforced Concrete Structures

2016 ◽  
Vol 2016 ◽  
pp. 1-18 ◽  
Author(s):  
Hae-Chang Cho ◽  
Hyunjin Ju ◽  
Jae-Yuel Oh ◽  
Kyung Jin Lee ◽  
Kyung Won Hahm ◽  
...  
Keyword(s):  
Reinforced Concrete ◽  
Concrete Structures ◽  
Reinforced Concrete Structures ◽  
Concrete Member ◽  
Carbonation Depth ◽  
Inference System ◽  
Concrete Carbonation ◽  
Reinforced Concrete Member ◽  
Inspection Data ◽  
Adaptive Neurofuzzy Inference System

While the durability of concrete structures is greatly influenced by many factors, previous studies typically considered only a single durability deterioration factor. In addition, these studies mostly conducted their experiments inside the laboratory, and it is extremely hard to find any case in which data were obtained from field inspection. Accordingly, this study proposed an Adaptive Neurofuzzy Inference System (ANFIS) algorithm that can estimate the carbonation depth of a reinforced concrete member, in which combined deterioration has been reflected based on the data obtained from field inspections of 9 buildings. The proposed ANFIS algorithm closely estimated the carbonation depths, and it is considered that, with further inspection data, a higher accuracy would be achieved. Thus, it is expected to be used very effectively for durability estimation of a building of which the inspection is performed periodically.

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