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Estimation of Concrete Carbonation Depth Considering Multiple Influencing Factors on the Deterioration of Durability for Reinforced Concrete Structures
Joint Authors
Cho, Hae-Chang
Kim, Kang Su
Oh, Jae Yuel
Ju, Hyunjin
Lee, Kyung Jin
Hahm, Kyung Won
Source
Advances in Materials Science and Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-12
Country of Publication
Egypt
No. of Pages
18
Abstract EN
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.
American Psychological Association (APA)
Cho, Hae-Chang& Ju, Hyunjin& Oh, Jae Yuel& Lee, Kyung Jin& Hahm, Kyung Won& Kim, Kang Su. 2016. Estimation of Concrete Carbonation Depth Considering Multiple Influencing Factors on the Deterioration of Durability for Reinforced Concrete Structures. Advances in Materials Science and Engineering،Vol. 2016, no. 2016, pp.1-18.
https://search.emarefa.net/detail/BIM-1096168
Modern Language Association (MLA)
Cho, Hae-Chang…[et al.]. Estimation of Concrete Carbonation Depth Considering Multiple Influencing Factors on the Deterioration of Durability for Reinforced Concrete Structures. Advances in Materials Science and Engineering No. 2016 (2016), pp.1-18.
https://search.emarefa.net/detail/BIM-1096168
American Medical Association (AMA)
Cho, Hae-Chang& Ju, Hyunjin& Oh, Jae Yuel& Lee, Kyung Jin& Hahm, Kyung Won& Kim, Kang Su. Estimation of Concrete Carbonation Depth Considering Multiple Influencing Factors on the Deterioration of Durability for Reinforced Concrete Structures. Advances in Materials Science and Engineering. 2016. Vol. 2016, no. 2016, pp.1-18.
https://search.emarefa.net/detail/BIM-1096168
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1096168