Abstract

Reinforced concrete (R/C) frame buildings designed according to older seismic codes represent a large part of the existing building stock worldwide. Their structural elements are often vulnerable to shear or flexure-shear failure, which can eventually lead to loss of axial load resistance of vertical elements and initiate vertical progressive collapse of a building. In this study, a hysteretic model capturing the local shear response of shear-deficient R/C elements is described in detail, with emphasis on post-peak behaviour; it differs from existing models in that it considers the localisation of shear strains after the onset of shear failure in a critical length defined by the diagonal failure planes. Additionally, an effort is made to improve the state of the art in post-peak shear response modelling, by compiling the largest database of experimental results for shear and flexure-shear critical R/C columns cycled well beyond the onset of shear failure and/or up to the onset of axial failure, and developing empirical relationships for the key parameters defining the local backbone post-peak shear response of such elements. The implementation of the derived local hysteretic shear model in a computationally efficient beam-column finite element model with distributed shear flexibility, which accounts for all deformation types, will be presented in a forthcoming paper.

Publication Type:	Article
Additional Information:	This is the peer reviewed version of the following article: Zimos, D.K., Mergos, P.E. & Kappos, A. J. (2018). Modelling of R/C members accounting for shear failure localisation: Hysteretic shear model. Earthquake Engineering and Structural Dynamics, published on 30 March 2018 in final form here https://doi.org/10.1002/eqe.3033. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Publisher Keywords:	Reinforced concrete structures; Substandard members; Hysteresis model; Shear response; Post-peak response; Axial failure
Departments:	School of Science & Technology > Engineering

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