Finite Element Study on the Behavior of RC Beams Strengthened with PBO-FRCM Composite under Torsion
This paper describes the results of numerical simulation performed to investigate the torsional behavior of reinforced concrete (RC) beams strengthened with externally bonded fiber reinforced cementitious matrix (FRCM) composite. A nonlinear finite element analysis was performed using LS-DYNA. FE predictions were in reasonable agreement with experimental results of FRCM-strengthened beams under torsional loading in terms of failure mode, torsional strength, and corresponding twist per unit length. A parametric study was also carried out to study the influence of concrete compressive strength and FRCM composite strip width and spacing. Results showed that the torsional strength increases with increasing concrete compressive strength when failure is governed by crushing of the concrete strut. When failure is governed by fiber rupture, the torsional strength was not sensitive to concrete compressive strength. The parametric study also showed that the torsional strength increases with increasing fiber reinforcement ratio, although the increase in torsional strength is not directly proportional to the increase in fiber reinforcement ratio.
M. Y. Alabdulhady et al., "Finite Element Study on the Behavior of RC Beams Strengthened with PBO-FRCM Composite under Torsion," Composite Structures, vol. 179, pp. 326-339, Elsevier, Nov 2017.
The definitive version is available at https://doi.org/10.1016/j.compstruct.2017.07.079
Civil, Architectural and Environmental Engineering
Keywords and Phrases
Compressive strength; Concrete beams and girders; Concretes; Fibers; Reinforced concrete; Strengthening (metal); Thermoelectricity; Torsional stress; Cementitious matrices; Concrete compressive strength; Finite-element study; Non-linear finite-element analysis; Parametric study; RC beams; Reinforced concrete beams; Reinforcement ratios; Finite element method; Finite element analysis; Parametric study; PBO-FRCM composite; Torsion
International Standard Serial Number (ISSN)
Article - Journal
© 2017 Elsevier, All rights reserved.
01 Nov 2017