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Cross-Sectional Unification on the Stress-Strain Model of Concrete Subjected to High Passive Confinement by Fiber-Reinforced Polymer.
Cao, Yu-Gui; Jiang, Cheng; Wu, Yu-Fei.
Afiliação
  • Cao YG; School of Civil Engineering and Mechanics, Huazhong University of Science & Technology, Wuhan 430074, China. caoyugui@163.com.
  • Jiang C; Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong SAR, China. caoyugui@163.com.
  • Wu YF; Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong SAR, China. chenjiang6-c@my.cityu.edu.hk.
Polymers (Basel) ; 8(5)2016 May 11.
Article em En | MEDLINE | ID: mdl-30979281
ABSTRACT
The stress-strain behavior of concrete can be improved by providing a lateral passive confining pressure, such as fiber-reinforced polymer (FRP) wrapping. Many axial stress-strain models have been proposed for FRP-confined concrete columns. However, few models can predict the stress-strain behavior of confined concrete columns with more than two specified cross-sections. A stress-strain model of FRP-confined concrete columns with cross-sectional unification was developed in this paper based on a database from the existing literature that includes circular, square, rectangular and elliptical concrete columns that are highly confined by FRP jackets. Using the database, the existing theoretical models were evaluated. In addition, the ultimate stress and strain models with cross-sectional unification were proposed using two parameters the cross-sectional aspect ratio and corner radius ratio. The elliptical cross-section can be considered as a rectangular one with a special corner radius for the model calculations. A simple and accurate model of the equivalent corner radius ratio for elliptical columns was proposed. Compared to the other existing models and experimental data, the proposed models show good performance.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article