Estimation of Concrete Carbonation Depth Considering Multiple Influencing Factors on the Deterioration of Durability for Reinforced Concrete Structures
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 wh...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/4814609 |
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| author | Hae-Chang Cho Hyunjin Ju Jae-Yuel Oh Kyung Jin Lee Kyung Won Hahm Kang Su Kim |
| author_facet | Hae-Chang Cho Hyunjin Ju Jae-Yuel Oh Kyung Jin Lee Kyung Won Hahm Kang Su Kim |
| author_sort | Hae-Chang Cho |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-11608d3013674ac7b1d56deef531ee49 |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-11608d3013674ac7b1d56deef531ee492025-02-03T05:58:10ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422016-01-01201610.1155/2016/48146094814609Estimation of Concrete Carbonation Depth Considering Multiple Influencing Factors on the Deterioration of Durability for Reinforced Concrete StructuresHae-Chang Cho0Hyunjin Ju1Jae-Yuel Oh2Kyung Jin Lee3Kyung Won Hahm4Kang Su Kim5Department of Architectural Engineering, University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 02504, Republic of KoreaDepartment of Architectural Engineering, University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 02504, Republic of KoreaDepartment of Architectural Engineering, University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 02504, Republic of KoreaStructural & Seismic Tech. Group, Power Transmission Laboratory, Korea Electric Power Research Institute, 105 Munji-ro, Yuseong-gu, Daejeon 34056, Republic of KoreaStructural & Seismic Tech. Group, Power Transmission Laboratory, Korea Electric Power Research Institute, 105 Munji-ro, Yuseong-gu, Daejeon 34056, Republic of KoreaDepartment of Architectural Engineering, University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 02504, Republic of KoreaWhile 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.http://dx.doi.org/10.1155/2016/4814609 |
| spellingShingle | Hae-Chang Cho Hyunjin Ju Jae-Yuel Oh Kyung Jin Lee Kyung Won Hahm Kang Su Kim Estimation of Concrete Carbonation Depth Considering Multiple Influencing Factors on the Deterioration of Durability for Reinforced Concrete Structures Advances in Materials Science and Engineering |
| title | Estimation of Concrete Carbonation Depth Considering Multiple Influencing Factors on the Deterioration of Durability for Reinforced Concrete Structures |
| title_full | Estimation of Concrete Carbonation Depth Considering Multiple Influencing Factors on the Deterioration of Durability for Reinforced Concrete Structures |
| title_fullStr | Estimation of Concrete Carbonation Depth Considering Multiple Influencing Factors on the Deterioration of Durability for Reinforced Concrete Structures |
| title_full_unstemmed | Estimation of Concrete Carbonation Depth Considering Multiple Influencing Factors on the Deterioration of Durability for Reinforced Concrete Structures |
| title_short | Estimation of Concrete Carbonation Depth Considering Multiple Influencing Factors on the Deterioration of Durability for Reinforced Concrete Structures |
| title_sort | estimation of concrete carbonation depth considering multiple influencing factors on the deterioration of durability for reinforced concrete structures |
| url | http://dx.doi.org/10.1155/2016/4814609 |
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