Predicting stress and strain of FRP-confined square/rectangular columns using artificial neural networks
© 2014 American Society of Civil Engineers. This study proposes the use of artificial neural networks (ANNs) to calculate the compressive strength and strain of fiber reinforced polymer (FRP)confined square/rectangular columns. Modeling results have shown that the two proposed ANN models fit the tes...
| Main Authors: | , |
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| Format: | Journal Article |
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ASCE-AMER SOC CIVIL ENGINEERS
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/26789 |
| _version_ | 1848752086284500992 |
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| author | Pham, Thong Hadi, M. |
| author_facet | Pham, Thong Hadi, M. |
| author_sort | Pham, Thong |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2014 American Society of Civil Engineers. This study proposes the use of artificial neural networks (ANNs) to calculate the compressive strength and strain of fiber reinforced polymer (FRP)confined square/rectangular columns. Modeling results have shown that the two proposed ANN models fit the testing data very well. Specifically, the average absolute errors of the two proposed models are less than 5%. The ANNs were trained, validated, and tested on two databases. The first database contains the experimental compressive strength results of 104 FRP confined rectangular concrete columns. The second database consists of the experimental compressive strain of 69 FRP confined square concrete columns. Furthermore, this study proposes a new potential approach to generate a user-friendly equation from a trained ANN model. The proposed equations estimate the compressive strength/strain with small error. As such, the equations could be easily used in engineering design instead of the invisible processes inside the ANN. |
| first_indexed | 2025-11-14T08:03:02Z |
| format | Journal Article |
| id | curtin-20.500.11937-26789 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:03:02Z |
| publishDate | 2014 |
| publisher | ASCE-AMER SOC CIVIL ENGINEERS |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-267892017-09-13T15:28:50Z Predicting stress and strain of FRP-confined square/rectangular columns using artificial neural networks Pham, Thong Hadi, M. © 2014 American Society of Civil Engineers. This study proposes the use of artificial neural networks (ANNs) to calculate the compressive strength and strain of fiber reinforced polymer (FRP)confined square/rectangular columns. Modeling results have shown that the two proposed ANN models fit the testing data very well. Specifically, the average absolute errors of the two proposed models are less than 5%. The ANNs were trained, validated, and tested on two databases. The first database contains the experimental compressive strength results of 104 FRP confined rectangular concrete columns. The second database consists of the experimental compressive strain of 69 FRP confined square concrete columns. Furthermore, this study proposes a new potential approach to generate a user-friendly equation from a trained ANN model. The proposed equations estimate the compressive strength/strain with small error. As such, the equations could be easily used in engineering design instead of the invisible processes inside the ANN. 2014 Journal Article http://hdl.handle.net/20.500.11937/26789 10.1061/(ASCE)CC.1943-5614.0000477 ASCE-AMER SOC CIVIL ENGINEERS fulltext |
| spellingShingle | Pham, Thong Hadi, M. Predicting stress and strain of FRP-confined square/rectangular columns using artificial neural networks |
| title | Predicting stress and strain of FRP-confined square/rectangular columns using artificial neural networks |
| title_full | Predicting stress and strain of FRP-confined square/rectangular columns using artificial neural networks |
| title_fullStr | Predicting stress and strain of FRP-confined square/rectangular columns using artificial neural networks |
| title_full_unstemmed | Predicting stress and strain of FRP-confined square/rectangular columns using artificial neural networks |
| title_short | Predicting stress and strain of FRP-confined square/rectangular columns using artificial neural networks |
| title_sort | predicting stress and strain of frp-confined square/rectangular columns using artificial neural networks |
| url | http://hdl.handle.net/20.500.11937/26789 |