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http://dx.doi.org/10.12989/cac.2013.12.4.499

An efficient method for the compressive behavior of FRP-confined concrete cylinders  

Fan, Xinglang (State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology)
Wu, Zhimin (State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology)
Wu, Yufei (Department of Civil and Architectural Engineering, City University of Hong Kong)
Zheng, Jianjun (School of Civil Engineering and Architecture, Zhejiang University of Technology)
Publication Information
Computers and Concrete / v.12, no.4, 2013 , pp. 499-518 More about this Journal
Abstract
Fiber reinforced polymer (FRP) jackets have been widely used as an effective tool for the strengthening and rehabilitation of concrete structures, especially damaged concrete columns. Therefore, a clear understanding of the compressive behavior of FRP-confined concrete is essential. The objective of this paper is to develop a simple efficient method for predicting the compressive strength, the axial strain at the peak stress, and the stress-strain relationship of FRP-confined concrete. In this method, a compressive strength model is established based on Jefferson's failure surface. With the proposed strength model, the strength of FRP-confined concrete can be estimated more precisely. The axial strain at the peak stress is then evaluated using a damage-based formula. Finally, a modified stress-strain relationship is derived based on Lam and Teng's model. The validity of the proposed compressive strength and strain models and the modified stress-strain relationship is verified with a wide range of experimental results collected from the research literature and obtained from the self-conducted test. It can be concluded that, as a competitive alternative, the proposed method can be used to predict the compressive behavior of FRP-confined concrete with reasonable accuracy.
Keywords
FRP-confined concrete; strength model; strain model; stress-strain relationship;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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