2014
DOI: 10.1080/19648189.2014.881756
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Cracking analysis of reinforced concrete structures

Abstract: International audienceThe study of a reinforced concrete beam tested under four-point bending is proposed in this article. An analysis of the behaviour of this beam from the global response down to local information such as cracking is performed. In order to describe the progressive degradation of the beam, a damage model is used, associated to a stress-based non-local regularisation method. A post-treatment of the finite element analysis is then performed to characterise the cracking pattern (crack spacing an… Show more

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Cited by 14 publications
(11 citation statements)
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“…In principle, any model can be used as long as it provides a precise description of local fields. In this contribution, the SBNL damage model applied to the Mazars criterion is chosen. The next step is to assess the crack path either by using for instance a topological search or the global tracking algorithm .…”
Section: Semi‐discrete Approachmentioning
confidence: 99%
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“…In principle, any model can be used as long as it provides a precise description of local fields. In this contribution, the SBNL damage model applied to the Mazars criterion is chosen. The next step is to assess the crack path either by using for instance a topological search or the global tracking algorithm .…”
Section: Semi‐discrete Approachmentioning
confidence: 99%
“…In order to improve the description of the continuous fields, an evolution of nonlocal interactions should be introduced in computations. In the present contribution, the method proposed in Refs is used. This regularization method, called the SBNL, is characterized by a regularization that takes into account the stress state of the material.…”
Section: Semi‐discrete Approachmentioning
confidence: 99%
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“…This results in a more realistic representation of the evolution of stresses in these situations. For more information about this model and the computation scheme used for this research the reader is referred to [21][22][23].…”
Section: Regularization Modelmentioning
confidence: 99%