Automated serviceability prediction of NSM strengthened structure using a fuzzy logic expert system
This paper presents a simplified model using a fuzzy logic approach for predicting the serviceability of reinforced concrete (RC) beams strengthened with near surface mounted (NSM) reinforcement. Existing analytical models lack proper formulations for the prediction of deflection and crack width in...
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| Format: | Article |
| Language: | English |
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Expert Systems with Applications
2015
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| Online Access: | http://eprints.um.edu.my/13776/1/Automated_serviceability_prediction_of_NSM_strengthened.pdf |
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| author | Darain, K.M.U. Jumaat, Mohd Zamin Hossain, M.A. Hosen, M.A. Obaydullah, M. Huda, M.N. Hossain, I. |
| author_facet | Darain, K.M.U. Jumaat, Mohd Zamin Hossain, M.A. Hosen, M.A. Obaydullah, M. Huda, M.N. Hossain, I. |
| author_sort | Darain, K.M.U. |
| collection | UM |
| description | This paper presents a simplified model using a fuzzy logic approach for predicting the serviceability of reinforced concrete (RC) beams strengthened with near surface mounted (NSM) reinforcement. Existing analytical models lack proper formulations for the prediction of deflection and crack width in NSM strengthened beams. These existing models are based on the externally bonded reinforcement (EBR) technique with fiber reinforced polymer (FRP) laminates, which presents certain limitations for application in predicting the behavior of NSM strengthened beams. In this study seven NSM strengthened RC beams were statically tested under four point bending load. The test variables were strengthening material (steel or CFRP) and bond length (1600, 1800 or 1900 mm). For fuzzification, load and bonded length were used as input parameters and the output parameters were deflection and crack width for steel bar and CFRP bar. Experimentally NSM steel strengthened beams showed better performance in terms of crack width and stiffness, although NSM FRP strengthened beams exhibited enhanced strength increment. For all parameters, the relative error of the predicted values was found to be within the acceptable limit (5) and the goodness of fit of the predicted values was found to be close to 1.0. Hence, the developed prediction system can be said to have performed satisfactorily. (C) 2014 Elsevier Ltd. All rights reserved. |
| first_indexed | 2024-03-06T05:34:46Z |
| format | Article |
| id | um.eprints-13776 |
| institution | Universiti Malaya |
| language | English |
| last_indexed | 2024-03-06T05:34:46Z |
| publishDate | 2015 |
| publisher | Expert Systems with Applications |
| record_format | dspace |
| spelling | um.eprints-137762020-02-05T04:46:32Z http://eprints.um.edu.my/13776/ Automated serviceability prediction of NSM strengthened structure using a fuzzy logic expert system Darain, K.M.U. Jumaat, Mohd Zamin Hossain, M.A. Hosen, M.A. Obaydullah, M. Huda, M.N. Hossain, I. T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery This paper presents a simplified model using a fuzzy logic approach for predicting the serviceability of reinforced concrete (RC) beams strengthened with near surface mounted (NSM) reinforcement. Existing analytical models lack proper formulations for the prediction of deflection and crack width in NSM strengthened beams. These existing models are based on the externally bonded reinforcement (EBR) technique with fiber reinforced polymer (FRP) laminates, which presents certain limitations for application in predicting the behavior of NSM strengthened beams. In this study seven NSM strengthened RC beams were statically tested under four point bending load. The test variables were strengthening material (steel or CFRP) and bond length (1600, 1800 or 1900 mm). For fuzzification, load and bonded length were used as input parameters and the output parameters were deflection and crack width for steel bar and CFRP bar. Experimentally NSM steel strengthened beams showed better performance in terms of crack width and stiffness, although NSM FRP strengthened beams exhibited enhanced strength increment. For all parameters, the relative error of the predicted values was found to be within the acceptable limit (5) and the goodness of fit of the predicted values was found to be close to 1.0. Hence, the developed prediction system can be said to have performed satisfactorily. (C) 2014 Elsevier Ltd. All rights reserved. Expert Systems with Applications 2015-01 Article PeerReviewed application/pdf en http://eprints.um.edu.my/13776/1/Automated_serviceability_prediction_of_NSM_strengthened.pdf Darain, K.M.U. and Jumaat, Mohd Zamin and Hossain, M.A. and Hosen, M.A. and Obaydullah, M. and Huda, M.N. and Hossain, I. (2015) Automated serviceability prediction of NSM strengthened structure using a fuzzy logic expert system. Expert Systems with Applications, 42 (1). pp. 376-389. ISSN 0957-4174, DOI https://doi.org/10.1016/j.eswa.2014.07.058 <https://doi.org/10.1016/j.eswa.2014.07.058>. http://www.sciencedirect.com/science/article/pii/S0957417414004746 DOI 10.1016/j.eswa.2014.07.058 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery Darain, K.M.U. Jumaat, Mohd Zamin Hossain, M.A. Hosen, M.A. Obaydullah, M. Huda, M.N. Hossain, I. Automated serviceability prediction of NSM strengthened structure using a fuzzy logic expert system |
| title | Automated serviceability prediction of NSM strengthened structure using a fuzzy logic expert system |
| title_full | Automated serviceability prediction of NSM strengthened structure using a fuzzy logic expert system |
| title_fullStr | Automated serviceability prediction of NSM strengthened structure using a fuzzy logic expert system |
| title_full_unstemmed | Automated serviceability prediction of NSM strengthened structure using a fuzzy logic expert system |
| title_short | Automated serviceability prediction of NSM strengthened structure using a fuzzy logic expert system |
| title_sort | automated serviceability prediction of nsm strengthened structure using a fuzzy logic expert system |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery |
| url | http://eprints.um.edu.my/13776/1/Automated_serviceability_prediction_of_NSM_strengthened.pdf |
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