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...

Full description

Bibliographic Details
Published in:MATEC Web of Conferences
Main Author: Hamid N.A.A.; Thamrin R.; Ibrahim A.; Abdul Hamid H.; Salleh N.; Jamellodin Z.; Majid M.A.; Khalid N.H.A.
Format: Conference paper
Language:English
Published: EDP Sciences 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018553207&doi=10.1051%2fmatecconf%2f201710302013&partnerID=40&md5=fbb6c6885e35df5d1d8c791b1dd96722
id 2-s2.0-85018553207
spelling 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