A drift capacity prediction model for retrofitted reinforced concrete columns


ÖZCAN O., BİNİCİ B.

MAGAZINE OF CONCRETE RESEARCH, vol.74, no.5, pp.236-250, 2022 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 74 Issue: 5
  • Publication Date: 2022
  • Doi Number: 10.1680/jmacr.19.00553
  • Title of Journal : MAGAZINE OF CONCRETE RESEARCH
  • Page Numbers: pp.236-250
  • Keywords: composite materials, failure, modelling, STRENGTHENED RC COLUMNS, SEISMIC BEHAVIOR, BRIDGE COLUMNS, REPAIR, PERFORMANCE, POLYMER, FRP

Abstract

Seismic assessment of reinforced concrete (RC) buildings heavily relies on the deformation capacity predictions of members. Similarly, the prediction of the deformation capacity of retrofitted RC columns has the utmost importance for seismic retrofit design. In this paper, a new unified drift model is proposed in order to estimate the rotation capacity of RC columns retrofitted with concrete jacketing, steel jacketing and fibre-reinforced polymer (FRP) wrapping. In order to generate the model, an extensive database was compiled consisting of 269 columns composed of 39 concrete-jacketed, 91 steel-jacketed and 139 FRP-wrapped RC columns failing in flexure mode. In the proposed drift model, the key model parameters are the confinement stress ratio, the axial load ratio and the lap splice length. The accuracy and scatter of the estimations with regard to the previous models were studied. For all of the column retrofitting options, the proposed unified model was observed to have rotation predictions better than the previous models in terms of the mean of the predicted to experimental rotation capacity ratios and with a reduced standard deviation.