Accuracy evaluation of ACI and EC2 on minimum reinforcement ratio for RC beams
Sectional analysis by using software Response2000 has been carried out to calculate minimum flexural reinforcement ratio by considering the size effect and the cross-section shape of the beam which are completely neglected by ACI 318-19 and EC2, as well as extending the current upper limit on the yi...
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sg-ntu-dr.10356-1496352021-05-19T04:13:08Z Accuracy evaluation of ACI and EC2 on minimum reinforcement ratio for RC beams Chandra, Gilbert Nathanael Li Bing School of Civil and Environmental Engineering CBLi@ntu.edu.sg Engineering::Civil engineering::Structures and design Sectional analysis by using software Response2000 has been carried out to calculate minimum flexural reinforcement ratio by considering the size effect and the cross-section shape of the beam which are completely neglected by ACI 318-19 and EC2, as well as extending the current upper limit on the yield strength of reinforcement (fy) on ACI 318-19 and EC2 to enable the usage of high strength steel reinforcement (HSSR). A total of 1920 test results were used to analyze the parameters affecting the minimum flexural reinforcement ratio to ensure a ductile failure mode. The research has revealed that the minimum flexural reinforcement ratio is a function of 4 variables: concrete compressive strength (f’c), reinforcement yield strength (fy), d/h ratio, and cross-section shape. Furthermore, this report has shown that ACI 318-19 is more conservative than EC2 for predicting the minimum reinforcement ratio. Finally, new equations have been proposed to calculate the minimum flexural reinforcement ratio. Bachelor of Engineering (Civil) 2021-05-19T04:13:08Z 2021-05-19T04:13:08Z 2021 Final Year Project (FYP) Chandra, G. N. (2021). Accuracy evaluation of ACI and EC2 on minimum reinforcement ratio for RC beams. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149635 https://hdl.handle.net/10356/149635 en application/pdf Nanyang Technological University |
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Engineering::Civil engineering::Structures and design Chandra, Gilbert Nathanael Accuracy evaluation of ACI and EC2 on minimum reinforcement ratio for RC beams |
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Sectional analysis by using software Response2000 has been carried out to calculate minimum flexural reinforcement ratio by considering the size effect and the cross-section shape of the beam which are completely neglected by ACI 318-19 and EC2, as well as extending the current upper limit on the yield strength of reinforcement (fy) on ACI 318-19 and EC2 to enable the usage of high strength steel reinforcement (HSSR). A total of 1920 test results were used to analyze the parameters affecting the minimum flexural reinforcement ratio to ensure a ductile failure mode. The research has revealed that the minimum flexural reinforcement ratio is a function of 4 variables: concrete compressive strength (f’c), reinforcement yield strength (fy), d/h ratio, and cross-section shape. Furthermore, this report has shown that ACI 318-19 is more conservative than EC2 for predicting the minimum reinforcement ratio. Finally, new equations have been proposed to calculate the minimum flexural reinforcement ratio. |
author2 |
Li Bing |
author_facet |
Li Bing Chandra, Gilbert Nathanael |
format |
Final Year Project |
author |
Chandra, Gilbert Nathanael |
author_sort |
Chandra, Gilbert Nathanael |
title |
Accuracy evaluation of ACI and EC2 on minimum reinforcement ratio for RC beams |
title_short |
Accuracy evaluation of ACI and EC2 on minimum reinforcement ratio for RC beams |
title_full |
Accuracy evaluation of ACI and EC2 on minimum reinforcement ratio for RC beams |
title_fullStr |
Accuracy evaluation of ACI and EC2 on minimum reinforcement ratio for RC beams |
title_full_unstemmed |
Accuracy evaluation of ACI and EC2 on minimum reinforcement ratio for RC beams |
title_sort |
accuracy evaluation of aci and ec2 on minimum reinforcement ratio for rc beams |
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Nanyang Technological University |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/149635 |
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1701270591750799360 |