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Computers and Concrete Volume 15, Number 2, February 2015 , pages 259-277 DOI: https://doi.org/10.12989/cac.2015.15.2.259 |
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Reliability analysis of reinforced concrete haunched beams shear capacity based on stochastic nonlinear FE analysis |
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Hasan M. Albegmprli, AbdulkadirÇevik, M. ErenGülşan
and AhmetEminKurtoglu
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| Abstract | ||
| The lack of experimental studies on the mechanical behavior of reinforced concrete (RC) haunched beams leads to difficulties in statistical and reliability analyses. This study performs stochastic and reliability analyses of the ultimate shear capacity of RC haunched beams based on nonlinear finite element analysis. The main aim of this study is to investigate the influence of uncertainty in material properties and geometry parameters on the mechanical performance and shear capacity of RC haunched beams. Firstly, 65 experimentally tested RC haunched beams and prismatic beams are analyzed via deterministic nonlinear finite element method by a special program (ATENA) to verify the efficiency of utilized numerical models, the shear capacity and the crack pattern. The accuracy of nonlinear finite element analyses is verified by comparing the results of nonlinear finite element and experiments and both results are found to be in a good agreement. Afterwards, stochastic analyses are performed for each beam where the RC material properties and geometry parameters are assigned to take probabilistic values using an advanced simulating procedure. As a result of stochastic analysis, statistical parameters are determined. The statistical parameters are obtained for resistance bias factor and the coefficient of variation which were found to be equal to 1.053 and 0.137 respectively. Finally, reliability analyses are accomplished using the limit state functions of ACI-318 and ASCE-7 depending on the calculated statistical parameters. The results show that the RC haunched beams have higher sensitivity and riskiness than the RC prismatic beams. | ||
| Key Words | ||
| haunched beams; reinforced concrete; nonlinear finite element analysis; stochastic analysis; reliability analysis | ||
| Address | ||
| Hasan M. Albegmprli,AbdulkadirÇevik and M. ErenGülşan: Department of Civil Engineering, Gaziantep University, University Avenue, 27310 Gaziantep, Turkey Hasan M. Albegmprli: Technical College of Mosul, Foundation of Technical Education, Iraq AhmetEminKurtoglu: Department of Civil Engineering, Zirve UniversityKizilhisar Campus, Gaziantep, Turkey | ||