Postfire Axial Compression Behavior of Unloaded RC Columns Strengthened with CFRP Jackets

Fiber-reinforced polymer (FRP) composites have been widely recognized as an effective solution for strengthening and repairing RC structures, owing to their mechanical properties and ease of application. Among various FRP-based strengthening methods, external confinement using FRP jackets has proven particularly effective in enhancing both the load-carrying capacity and the deformation performance of RC columns. This paper presents an experimental investigation into the postfire axial compression behavior of RC columns wrapped with carbon fiber–reinforced polymer (CFRP) jackets. A comprehensive experimental program was conducted to examine the effects of key parameters, including fire exposure time (2 and 3 h) to induce different levels of thermal damage, the number of CFRP jacket layers (2 and 4), and concrete cover thickness (20 and 40 mm) on the axial compression behavior of the specimens. The experimental evaluations focused on failure modes, load-carrying capacity, load–displacement response, secant stiffness, ductility indices, CFRP hoop strains, and lateral dilatation behavior. The results demonstrated that the use of CFRP jackets significantly improved both the load-carrying capacity and the ductility of fire-damaged RC columns. Increasing the number of CFRP layers significantly enhanced the load-carrying capacity, while a thicker concrete cover delayed CFRP rupture, resulting in higher hoop rupture strains and more effective confinement. A cross-sectional analytical method was developed to predict the axial load–carrying capacity of CFRP-wrapped fire-damaged RC columns. The proposed method accounted for the nonuniform thermal degradation of concrete and steel reinforcement, as well as the confinement effect provided by the CFRP jackets on the thermally damaged concrete core. The validity of the analytical method was confirmed through a close agreement between experimental results and theoretical predictions. The novelty of this study lies in the integration of full-scale experimental testing with a validated analytical framework that comprehensively captures the combined effects of the thermal degradation of materials and CFRP confinement on the postfire axial compression behavior of RC columns strengthened with CFRP jackets.

Authors

Institutions

Publication Details

Journal
Journal of Composites for Construction
Published
2025-08-19
DOI
https://doi.org/10.1061/jccof2.cceng-5189
Citations
3
Primary Topic
Structural Behavior of Reinforced Concrete
Type
article
Field-Weighted Citation Impact
3.02
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Postfire Axial Compression Behavior of Unloaded RC Columns Strengthened with CFRP Jackets

Tianci Wang, Wan-Yang Gao, Lijun Ouyang, Jian Liang
3 citations
Journal of Composites for Construction
Structural Behavior of Reinforced Concrete
3.02
article

Postfire Axial Compression Behavior of Unloaded RC Columns Strengthened with CFRP Jackets

Tianci Wang, Wan-Yang Gao, Lijun Ouyang, Jian Liang
article en
3 citations

Abstract

Fiber-reinforced polymer (FRP) composites have been widely recognized as an effective solution for strengthening and repairing RC structures, owing to their mechanical properties and ease of application. Among various FRP-based strengthening methods, external confinement using FRP jackets has proven particularly effective in enhancing both the load-carrying capacity and the deformation performance of RC columns. This paper presents an experimental investigation into the postfire axial compression behavior of RC columns wrapped with carbon fiber–reinforced polymer (CFRP) jackets. A comprehensive experimental program was conducted to examine the effects of key parameters, including fire exposure time (2 and 3 h) to induce different levels of thermal damage, the number of CFRP jacket layers (2 and 4), and concrete cover thickness (20 and 40 mm) on the axial compression behavior of the specimens. The experimental evaluations focused on failure modes, load-carrying capacity, load–displacement response, secant stiffness, ductility indices, CFRP hoop strains, and lateral dilatation behavior. The results demonstrated that the use of CFRP jackets significantly improved both the load-carrying capacity and the ductility of fire-damaged RC columns. Increasing the number of CFRP layers significantly enhanced the load-carrying capacity, while a thicker concrete cover delayed CFRP rupture, resulting in higher hoop rupture strains and more effective confinement. A cross-sectional analytical method was developed to predict the axial load–carrying capacity of CFRP-wrapped fire-damaged RC columns. The proposed method accounted for the nonuniform thermal degradation of concrete and steel reinforcement, as well as the confinement effect provided by the CFRP jackets on the thermally damaged concrete core. The validity of the analytical method was confirmed through a close agreement between experimental results and theoretical predictions. The novelty of this study lies in the integration of full-scale experimental testing with a validated analytical framework that comprehensively captures the combined effects of the thermal degradation of materials and CFRP confinement on the postfire axial compression behavior of RC columns strengthened with CFRP jackets.

Journal of Composites for ConstructionVol. 29(6)
University of Shanghai for Science and Technology (CN), Shanghai Jiao Tong University (CN), Yunnan Building Materials Research & Design Institute (CN), PRG S&Tech (South Korea)
Climate action
Openalex Percentile: Top 9%
Structural Behavior of Reinforced Concrete
3.02
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.