The shear behaviour of concrete beams strengthened with CFRP
Al-Juboori, WS 2011, The shear behaviour of concrete beams strengthened with CFRP , PhD thesis, Salford : University of Salford.
Restricted to Repository staff only until 03 October 2014.
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A recent innovation for the shear strengthening of reinforced concrete (RC) beams is to externally bond Carbon Fibre Reinforced Polymer (CFRP) composite plates or strips. This technique has become popular because of the many advantages of CFRP composites such as: high strength-to-weight ratio, good corrosion resistance, and versatility in coping with different sectional shapes and corners. This study focuses on shear strengthening of structural members using CFRP. The understanding of concrete structures designed for strengthening in shear is still an area where uniform design rules do not exist or are treated very briefly. The research programme to study the shear contribution of externally bonded CFRP sheets/strips of RC beams includes laboratory tests of more than twenty-nine beam samples (of an original conceptual model incorporating a shear plane) with beams of different materials: nine aluminium beams, twenty concrete beams, and some timber beams for initial studies. There are twenty-six pure tensile laboratory tests to study bond behaviour between the parent material and CFRP. In addition, there are six pure shear specimens and tests to determine other material properties. The numerical analyses employ the finite element method and many numerical models are developed for simulation of the contribution of the CFRP for shear strengthening and bond strength. On completion of the experimental programme and FE analyses, the resulting information is used to formulate a new proposal for shear strengthening of concrete beams using CFRP. The bond strengths predicted using existing methods and new proposals from this study are compared with experimental data of this study and previous studies, demonstrating that the new proposals are valid and offer improvement over existing methods.
|Item Type:||Thesis (PhD)|
|Schools:||Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering|
|Depositing User:||Institutional Repository|
|Date Deposited:||03 Oct 2012 14:34|
|Last Modified:||18 Feb 2014 11:12|
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