Skip to main navigation Skip to search Skip to main content

Stress-strain modeling of concrete columns with localized failure: An analytical study

  • Yu-Fei Wu*
  • , Youyi Wei
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Axially-loaded concrete columns with postpeak strain-softening suffer large inelastic deformation only in a localized failure zone, leading to nonuniform deformation along the height of the columns. Therefore, calculation of axial deformation of such a column is more complicated and involves the concept of compressive fracture energy. No model of compressive fracture energy and the relevant stress-strain relationship has been developed in the literature for fiber-reinforced polymer (FRP) confined concrete columns. Different definitions of the fracture energy have been adopted in extant literature, which has caused inconsistency and difficulty in application of the models. This analytical study involves the development of a more rational and general framework for stress-strain modeling of axially-loaded concrete columns involving failure localization. Modeling of the postpeak inelastic deformation and its associated compressive fracture energy is studied and its parameters are scrutinized and evaluated. A unified relationship is formed to relate different definitions of the fracture energy so that they can be compared with each other. The new stress-strain model shows good agreement with experimental results, and can be used for design of axially-loaded FRP-confined concrete columns.
Original languageEnglish
Article number4015071
JournalJournal of Composites for Construction
Volume20
Issue number3
DOIs
Publication statusPublished - 1 Jun 2016

Research Keywords

  • Compressive fracture energy
  • Concrete columns
  • Confinement
  • Fiber-reinforced polymer (FRP)
  • Localized failure
  • Stress-strain model

Fingerprint

Dive into the research topics of 'Stress-strain modeling of concrete columns with localized failure: An analytical study'. Together they form a unique fingerprint.

Cite this