Numerical Study on the Ultimate Deformation of RC Structural Walls with Confined Boundary Regions

  • Rafik Taleb Tokyo Institute of Technology & University of Blida1
  • Hidekazu Watanabe Institute of Innovative Research, Tokyo Institute of Technology
  • Susumu Kono Institute of Innovative Research, Tokyo Institute of Technology

Abstract

For accurate assessment of performance levels in reinforced concrete (RC) members, it is important to well define deformation limits at particular damage states. For RC walled building, investigation of the deformation limits of RC structural walls is required to define limit states and corresponding limiting values. Numerical investigations were carried out on barbell shape and rectangular RC walls with confined boundaries to evaluate response curves and ultimate deformations. A nonlinear 2D and 3D finite elements (FE) models were built in order to simulate the load-deformation relations under monotonic loading as well as cracking and damage patterns of previously tested walls. The FE models were able to simulate the backbone curves with good accuracy as well as the ability of boundary columns in reducing damage level. The 3D FE model simulated very well the ultimate deformation compared to 2D models. A sectional fibre model combined with plastic hinge length and shear deformation component is proposed in order to simulate the backbone curves and the ultimate deformation with less computational cost compared to 3D FE analysis. The model was able to provide relatively accurate backbone curves with very good estimation of ultimate drift.

Keywords

structural RC walls, confined boundary region, ultimate deformation, finite element analysis, sectional analysis
Published
12-07-2017
How to Cite
TALEB, Rafik; WATANABE, Hidekazu; KONO, Susumu. Numerical Study on the Ultimate Deformation of RC Structural Walls with Confined Boundary Regions. Periodica Polytechnica Civil Engineering, [S.l.], july 2017. ISSN 1587-3773. Available at: <https://pp.bme.hu/ci/article/view/10554>. Date accessed: 23 sep. 2017. doi: https://doi.org/10.3311/PPci.10554.
Section
Research Article