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Original Articles

Nonlinear finite element analysis of damaged and strengthened reinforced concrete beams

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Pages 201-210 | Received 29 Nov 2011, Accepted 20 Apr 2012, Published online: 10 Mar 2014
 

Abstract

Bending test of seven reinforced concrete beams are modeled in finite element program to validate the modeling strategies by comparing the structural response of the beams. Three beams in the set are pre-damaged and strengthened with fiber reinforced composites before the bending tests. Cracks are implemented into the model by inserting geometrical discontinuities to represent the pre-damaged beams. Parametric variables such as crack width, length and interval are chosen to simulate different pre-damage levels. Once the proposed modeling strategies are validated by real experimental tests then 196 finite element models are created to study the effects of pre-damage levels on the moment capacity of reinforced concrete beams repaired with CFRP. Results indicate that inclusion of pre-damage levels by means of cracks into the cross sections have significant effect on beams moment capacity.

Additional information

Notes on contributors

Muharrem Aktas

Muharrem AKTAS. He is an Assistant Professor at the Department of Civil Engineering in the Faculty of Engineering of Sakarya University, Turkey. He supervised 3 PhD theses along with 2 MS theses. He published several journal papers and attended both national and international conferences. His research interests are design and analysis of steel structures, analysis of the composite structures and performance of the FRP strengthened concrete structures as well as non-linear finite element modeling.

Yusuf Sumer

Yusuf SUMER. He is an Assistant Professor at the Department of Civil Engineering in the Technology Faculty of Sakarya University, Turkey. He published articles in national and international conferences and journals. His research interests include the behavior of FRP strengthened concrete beams under different load conditions as well as non-linear finite element modeling.

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