Evaluate accuracy of EC2 on shear prediction for RC beams

The rise of high-rise buildings and long-span bridges has resulted in a higher demand of high strength materials over the past few decades. However, Eurocode 2 impose a limit on concrete compressive strength of 90 MPa and steel yield strength of 600 MPa in shear design, this restriction prevents des...

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Main Author: Chen, Nengjian
Other Authors: Li Bing
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2019
Subjects:
Online Access:https://hdl.handle.net/10356/136533
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author Chen, Nengjian
author2 Li Bing
author_facet Li Bing
Chen, Nengjian
author_sort Chen, Nengjian
collection NTU
description The rise of high-rise buildings and long-span bridges has resulted in a higher demand of high strength materials over the past few decades. However, Eurocode 2 impose a limit on concrete compressive strength of 90 MPa and steel yield strength of 600 MPa in shear design, this restriction prevents designers from fully utilize high strength of concrete and steel in shear design, which results in the unconservative prediction of ultimate shear capacities for RC beams. Therefore, this report aims to evaluate the impact of various high strength materials on the accuracy of EC2 in predicting ultimate shear capacity of RC beams. The evaluation will be done through statistical analysis of various databases composed of all previous experimental testing of RC beams with and without stirrups, and results from an experimental investigation aimed at addressing deficiencies in the compiled databases. Meanwhile, to find paucity within previous research of experimental shear testing on RC beams, which will be recommended for future studies. The research has revealed that the EC2 produced an unconservative shear prediction with adopting high-strength material in design and construction of RC beams. This observation was reinforced through the various analysis of databases. Possible solutions were proposed for beams with and without stirrups to tackle the problems discovered in this report. Furthermore, this report recommended to use with beam categories of H(C)-N(L)-H(S), H(C)-H(L)-N(S) , H(C)-N(L)-N(S), N(C)-H(L)-N(S) , as full strength of steel and concrete can be applied in design without compromising safety. Lastly, a few recommendations were provided for future studies at the end of report. Note: H(C), H(L) and H(S) = High-strength concrete, longitudinal and shear reinforcement, respectively. N(C), N(L) and N(S) = Normal-strength concrete, longitudinal and shear reinforcement, respectively.
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spelling ntu-10356/1365332019-12-26T04:47:41Z Evaluate accuracy of EC2 on shear prediction for RC beams Chen, Nengjian Li Bing School of Civil and Environmental Engineering cbli@ntu.edu.sg Engineering Engineering::Civil engineering The rise of high-rise buildings and long-span bridges has resulted in a higher demand of high strength materials over the past few decades. However, Eurocode 2 impose a limit on concrete compressive strength of 90 MPa and steel yield strength of 600 MPa in shear design, this restriction prevents designers from fully utilize high strength of concrete and steel in shear design, which results in the unconservative prediction of ultimate shear capacities for RC beams. Therefore, this report aims to evaluate the impact of various high strength materials on the accuracy of EC2 in predicting ultimate shear capacity of RC beams. The evaluation will be done through statistical analysis of various databases composed of all previous experimental testing of RC beams with and without stirrups, and results from an experimental investigation aimed at addressing deficiencies in the compiled databases. Meanwhile, to find paucity within previous research of experimental shear testing on RC beams, which will be recommended for future studies. The research has revealed that the EC2 produced an unconservative shear prediction with adopting high-strength material in design and construction of RC beams. This observation was reinforced through the various analysis of databases. Possible solutions were proposed for beams with and without stirrups to tackle the problems discovered in this report. Furthermore, this report recommended to use with beam categories of H(C)-N(L)-H(S), H(C)-H(L)-N(S) , H(C)-N(L)-N(S), N(C)-H(L)-N(S) , as full strength of steel and concrete can be applied in design without compromising safety. Lastly, a few recommendations were provided for future studies at the end of report. Note: H(C), H(L) and H(S) = High-strength concrete, longitudinal and shear reinforcement, respectively. N(C), N(L) and N(S) = Normal-strength concrete, longitudinal and shear reinforcement, respectively. Bachelor of Engineering (Civil) 2019-12-26T04:47:40Z 2019-12-26T04:47:40Z 2019 Final Year Project (FYP) https://hdl.handle.net/10356/136533 en application/pdf Nanyang Technological University
spellingShingle Engineering
Engineering::Civil engineering
Chen, Nengjian
Evaluate accuracy of EC2 on shear prediction for RC beams
title Evaluate accuracy of EC2 on shear prediction for RC beams
title_full Evaluate accuracy of EC2 on shear prediction for RC beams
title_fullStr Evaluate accuracy of EC2 on shear prediction for RC beams
title_full_unstemmed Evaluate accuracy of EC2 on shear prediction for RC beams
title_short Evaluate accuracy of EC2 on shear prediction for RC beams
title_sort evaluate accuracy of ec2 on shear prediction for rc beams
topic Engineering
Engineering::Civil engineering
url https://hdl.handle.net/10356/136533
work_keys_str_mv AT chennengjian evaluateaccuracyofec2onshearpredictionforrcbeams