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Influence of Interface Zone Behaviour in Reinforced Concrete Under Tension Loading: An Analysis Based on Modelling and Digital Image Correlation

Abstract : The problem of durability in reinforced concrete structures is a major case of concern nowadays. The problem of leakage due to cracking phenomena in critical structures such as nuclear power plants is specifically significant. In these structures, the number of cracks, their distribution and opening are needed to predict leakage possibilities. These variables depend on both the behaviour law of concrete and the behaviour law of steel-concrete interface. This article intends to compare experimental and modelling results focusing on interface zone between concrete and steel reinforcement. The first step consists in performing tests to capture behaviour of reinforced concrete prismatic elements subjected to pure tension. Crack opening along these structures is investigated by using digital image correlation (DIC), which allows the observation of crack propagation during loading. Next, the tension test of reinforced concrete is modelled in two different ways. Firstly, the connection zone between concrete and steel bar is assumed to be perfect (none-sliding connection). Then, a hypothesis of interface zone model between these two materials which allows plastic sliding [1], is considered. An orthotropic model of concrete based on plasticity and damage theories is used for this modelling. The model is able to predict crack opening and manage its reclosure [2]. Finally, results of the test are compared to the both modelling. A discussion concerning the need of interface model finishes this paper.
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https://hal.insa-toulouse.fr/hal-01849765
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Submitted on : Thursday, July 26, 2018 - 2:42:07 PM
Last modification on : Friday, January 10, 2020 - 9:09:32 PM

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  • HAL Id : hal-01849765, version 1

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N. Handika, Géraldine Casaux-Ginestet, Alain Sellier. Influence of Interface Zone Behaviour in Reinforced Concrete Under Tension Loading: An Analysis Based on Modelling and Digital Image Correlation. Onate, E. and Owen, D. R. J. and Peric, D. and Chiumenti, M. Int Center Numerical Methods Engineering, 2015, 978-84-944244-6-5. ⟨hal-01849765⟩

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