Most infrastructures in the world are made with reinforced concrete (RC), and one of the crucial concerns in North America is corrosion of steel reinforcement in RC structures. Corrosion can lead to severe degradation which can affect the serviceability and ultimate limit state, and cause failure. One solution for overcoming this phenomenon is the use of corrosion-resistant fibre-reinforced polymer (FRP) reinforcement. In addition to corrosion resistance, FRPs also present other advantages such as high strength and light weight compared to steel reinforcing bars. Their mechanical properties differ from those of steel; therefore, the flexural and shear behaviour of FRP-RC members requires investigation.
In general, predictions from flexural design equations are close to results from experimental data. However, shear strength predictions based on different modelling approaches can vary greatly. Thus, in the last century, one of the main controversies in the field of structural engineering attracting continuous attention is the shear behaviour of RC members. In previous studies, factors such as concrete strength, reinforcement ratio, beam depth, beam width, size effect, aggregate size, fracture energy and shear slenderness have been investigated in an effort to solve the riddle of shear in beams. Recently, a new rational theory named "Shear Crack Propagation Theory" (SCPT) was introduced that combines crack kinematics with constitutive material behaviour to predict shear behaviour over the entire loading process, rather than only focusing on the point of failure.
To date, the SCPT has only been used to predict the shear behaviour of RC beams containing steel reinforcement. The present study is the first to apply the SCPT to RC beams with non-metallic reinforcement. The numerical analysis using SCPT on RC members was validated against published test data and examines the role of important parameters such as reinforcement modulus of elasticity, reinforcement ratio, bond condition, and dowel resistance.
| Identifer | oai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/45662 |
| Date | 24 November 2023 |
| Creators | Fattahi, Morvarid |
| Contributors | Noël, Martin |
| Publisher | Université d'Ottawa / University of Ottawa |
| Source Sets | Université d’Ottawa |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
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