YU Aimin, LI Chenchen, GAO Danying. Axial compressive behavior of corroded reinforced concrete columns strengthened by fiber reinforced polymer composite[J]. Acta Materiae Compositae Sinica, 2018, 35(5): 1315-1324. doi: 10.13801/j.cnki.fhclxb.20171128.001
Citation: YU Aimin, LI Chenchen, GAO Danying. Axial compressive behavior of corroded reinforced concrete columns strengthened by fiber reinforced polymer composite[J]. Acta Materiae Compositae Sinica, 2018, 35(5): 1315-1324. doi: 10.13801/j.cnki.fhclxb.20171128.001

Axial compressive behavior of corroded reinforced concrete columns strengthened by fiber reinforced polymer composite

doi: 10.13801/j.cnki.fhclxb.20171128.001
  • Received Date: 2017-09-07
  • Rev Recd Date: 2017-11-12
  • Publish Date: 2018-05-15
  • In order to provide reference for the design and construction of reinforced concrete columns strengthened with fiber reinforced polymer composite(FRP) under corrosive environment, and to promote its application, the accelerated corrosion was conducted to get the damaged reinforced concrete column which was similar to the action of actual environment. Then, the carbon fiber reinforced polymer composite(CFRP) strips and glass fiber reinforced polymer composite (GFRP) strips were used to strengthen the corroded reinforced concrete columns respectively. Finally, the axial compression tests were carried out on the corroded reinforced concrete columns strengthened with FRP to investigate the effect of rebar corrosion rate, FRP layers and types on the compressive bearing capacity of columns. Based on the research and analysis of the action effect of FRP with interval constraints, rebar corrosion on concrete section and mechanical properties of corroded reinforcement, the calculation model of the axial compressive bearing capacity of corroded reinforced concrete columns strengthened with FRP was presented. The average value of the ratios of measured compressive bearing capacity to calculated by the model is 1.020, and the coefficient of variation is 0.063, which indicates that the calculation model is in good agreement with the test reslts.

     

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