Computing model for deformation capacity of concrete filled steel tube reinforced concrete bridge columns
WANG Zhen,WANG Jing quan,QI Jia nan
1. Key Laboratory of Concrete and Prestressed Concrete Structure of China Ministry of Education,Southeast University,
Nanjing 210096,China；2. National Prestress Engineering Research Center,Southeast University,Nanjing 210096,China
A calculation model was put forward to consider influence of shear and reinforcement slip to predict deformation capacity of concrete filled steel tube reinforced concrete (CFSTRC) bridge columns accurately. Based on the calculation results of fiber model, the model took PΔ effect into account and divided the deformation into three components, namely flexural deformation, shear deformation and reinforcement slip deformation. The plastic hinge model was used to estimate flexure deformation, the axialFlexureShearInteraction (AFSI) method was utilized to predict shear deformation, and the reinforcement slip model was employed to calculate reinforcement slip deformation. The proposed model and plastic hinge model were utilized to predict the deformation of three test specimens provided by literatures. Results of the proposed model show good correlation with experimental values. While the plastic hinge model cannot take shear deformation into account, the results of plastic hinge model are smaller than the experimental data. Results show that shear deformation cannot be ignored when CFSTRC bridge columns are subjected to axial compression and lateral load. The proposed model can evaluate the nonlinear deformation of CFSTRC bridge columns during the whole loading process under the combination of axial load, shear and bending moment. Therefore the calculation model can be used to evaluate the deformation of CFSTRC bridge columns and gives reliable prediction.
WANG Zhen,WANG Jing quan,QI Jia nan. Computing model for deformation capacity of concrete filled steel tube reinforced concrete bridge columns. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2016, 50(5): 864-870.
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