Shear Strength Prediction for Concrete Beams Reinforced with GFRP Bars
This study presents a shear strength prediction model for concrete beams reinforced with GFRP bars. An empirical equation is developed using multiple regression analysis from the experimental results of 16 RC beams with GFRP bars. The proposed equation involved the parameters that affected the shear...
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2017
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018553207&doi=10.1051%2fmatecconf%2f201710302013&partnerID=40&md5=fbb6c6885e35df5d1d8c791b1dd96722 |
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2-s2.0-85018553207 Hamid N.A.A.; Thamrin R.; Ibrahim A.; Abdul Hamid H.; Salleh N.; Jamellodin Z.; Majid M.A.; Khalid N.H.A. Shear Strength Prediction for Concrete Beams Reinforced with GFRP Bars 2017 MATEC Web of Conferences 103 10.1051/matecconf/201710302013 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018553207&doi=10.1051%2fmatecconf%2f201710302013&partnerID=40&md5=fbb6c6885e35df5d1d8c791b1dd96722 This study presents a shear strength prediction model for concrete beams reinforced with GFRP bars. An empirical equation is developed using multiple regression analysis from the experimental results of 16 RC beams with GFRP bars. The proposed equation involved the parameters that affected the shear strength of beams such as compressive concrete strength, shear span ratio, longitudinal reinforcement ratio and modulus elasticity of the reinforcement. The accuracy of the proposed equation was verified by predicting the available experimental data from the literature. Furthermore, the predictions of shear capacities were compared with the current shear design code of ACI 440.1R-06. As a result, the ACI 440 provides very conservative prediction, while a better prediction is obtained from the shear strength prediction model in the present study. © The Authors, published by EDP Sciences, 2017. EDP Sciences 2261236X English Conference paper All Open Access; Gold Open Access; Green Open Access |
author |
Hamid N.A.A.; Thamrin R.; Ibrahim A.; Abdul Hamid H.; Salleh N.; Jamellodin Z.; Majid M.A.; Khalid N.H.A. |
spellingShingle |
Hamid N.A.A.; Thamrin R.; Ibrahim A.; Abdul Hamid H.; Salleh N.; Jamellodin Z.; Majid M.A.; Khalid N.H.A. Shear Strength Prediction for Concrete Beams Reinforced with GFRP Bars |
author_facet |
Hamid N.A.A.; Thamrin R.; Ibrahim A.; Abdul Hamid H.; Salleh N.; Jamellodin Z.; Majid M.A.; Khalid N.H.A. |
author_sort |
Hamid N.A.A.; Thamrin R.; Ibrahim A.; Abdul Hamid H.; Salleh N.; Jamellodin Z.; Majid M.A.; Khalid N.H.A. |
title |
Shear Strength Prediction for Concrete Beams Reinforced with GFRP Bars |
title_short |
Shear Strength Prediction for Concrete Beams Reinforced with GFRP Bars |
title_full |
Shear Strength Prediction for Concrete Beams Reinforced with GFRP Bars |
title_fullStr |
Shear Strength Prediction for Concrete Beams Reinforced with GFRP Bars |
title_full_unstemmed |
Shear Strength Prediction for Concrete Beams Reinforced with GFRP Bars |
title_sort |
Shear Strength Prediction for Concrete Beams Reinforced with GFRP Bars |
publishDate |
2017 |
container_title |
MATEC Web of Conferences |
container_volume |
103 |
container_issue |
|
doi_str_mv |
10.1051/matecconf/201710302013 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018553207&doi=10.1051%2fmatecconf%2f201710302013&partnerID=40&md5=fbb6c6885e35df5d1d8c791b1dd96722 |
description |
This study presents a shear strength prediction model for concrete beams reinforced with GFRP bars. An empirical equation is developed using multiple regression analysis from the experimental results of 16 RC beams with GFRP bars. The proposed equation involved the parameters that affected the shear strength of beams such as compressive concrete strength, shear span ratio, longitudinal reinforcement ratio and modulus elasticity of the reinforcement. The accuracy of the proposed equation was verified by predicting the available experimental data from the literature. Furthermore, the predictions of shear capacities were compared with the current shear design code of ACI 440.1R-06. As a result, the ACI 440 provides very conservative prediction, while a better prediction is obtained from the shear strength prediction model in the present study. © The Authors, published by EDP Sciences, 2017. |
publisher |
EDP Sciences |
issn |
2261236X |
language |
English |
format |
Conference paper |
accesstype |
All Open Access; Gold Open Access; Green Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809677606700711936 |