Analytical Model to Predict Dilation Behavior of FRP Confined Circular Concrete Columns Subjected to Axial Compressive Loading

Javad Shayanfar*, Mohammadali Rezazadeh, Joaquim A. Barros

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)
24 Downloads (Pure)

Abstract

Experimental research and real-case applications are demonstrating that the use of fiber-reinforced polymer (FRP) composite materials can be a solution to substantially improve circular cross section concrete columns in terms of strength, ductility, and energy dissipation. The present study is dedicated to developing a new model for estimating the dilation behavior of fully and partially FRP-based confined concrete columns under axial compressive loading. By considering experimental observations and results, a new relation between secant Poisson's ratio and axial strain is proposed. In order for the model to be applicable to partial confinement configurations, a confinement stiffness index is proposed based on the concept of confinement efficiency factor. A new methodology is also developed to predict the ultimate condition of partially FRP confined concrete taking into account the possibility of concrete crushing and FRP rupture failure modes. By comparing the results from experimental tests available in the literature with those determined with the model, the reliability and the good predictive performance of the developed model are demonstrated.

Original languageEnglish
Article number04020071
Pages (from-to)1-20
Number of pages20
JournalJournal of Composites for Construction
Volume24
Issue number6
Early online date29 Sept 2020
DOIs
Publication statusPublished - 1 Dec 2020

Keywords

  • Analytical model
  • Confinement stiffness index
  • Dilation behavior
  • FRP confined concrete columns
  • Full and partial confinement

Fingerprint

Dive into the research topics of 'Analytical Model to Predict Dilation Behavior of FRP Confined Circular Concrete Columns Subjected to Axial Compressive Loading'. Together they form a unique fingerprint.

Cite this