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Modeling of Lightly Confined Reinforced Concrete Columns Subjected to Lateral and Axial Loads

Fan, Jinsong
http://rave.ohiolink.edu/etdc/view?acc_num=osu1515132459608892

Abstract Details

2018, Doctor of Philosophy, Ohio State University, Civil Engineering.
The collapse of most non-ductile reinforced concrete buildings is caused by the loss of column support under gravity loads when subjected to lateral seismic loads. Although some modeling approaches of reinforced concrete columns can generate a reasonably accurate prediction of flexural response, the determination of shear displacement still needs further developments. Very few models could accurately simulate the shear failure and axial collapse of non-ductile columns under seismic loading. This dissertation focuses on the development of more accurate lateral displacement models including more focus on flexure-shear interaction for total lateral deformation response of lightly confined reinforced concrete columns. Experimental studies and post-earthquake reconnaissance demonstrated that reinforced concrete columns with light or widely spaced transverse reinforcement are vulnerable to shear failure and axial failure during earthquakes. Based on experimental results, a critical crack surface is selected to analyze and predict the onset of axial failure for damaged columns. When the lateral response of the column reaches the failure limit, the shear or axial strength begins to degrade. This research proposes two simplified analytical models that incorporate the shear failure and axial load failure limit state for predicting ultimate lateral displacements. An analytical model is developed to estimate the shear strength degradation and shear displacement at shear failure. Accordingly, a modified shear response envelope of shear-critical columns is proposed to predict shear behavior after peak shear strength is reached. The proposed model for calculating ultimate shear displacement is implemented and compared to experimental data. Another analytical model is developed to predict lateral displacements at axial load failure. Shear friction mechanisms are introduced to analyze the force equilibrium condition at the onset of axial load failure along a critical crack surface of the damaged column. Parametric studies are carried out to investigate and identify the most relevant factors used in calculations. The calculated results show that the proposed models can predict the lateral load-lateral displacement relationship of the test specimens with reasonable accuracy. A modified method is presented to calculate the total lateral displacements as a combination of flexure, longitudinal bar slip, and shear components. Comparison of the calculated response and experimental data show that the axial-shear-flexure interaction approach is basically suited to predict the lateral response of RC columns dominated by shear or shear-flexure failure.
Halil Sezen (Advisor)
Tarunjit Butalia (Committee Member)
Abdollah Shafieezadeh (Committee Member)
298 p.
Civil Engineering
Reinforced Concrete Columns; civil engineering

Recommended Citations

Citations

  • Fan, J. (2018). Modeling of Lightly Confined Reinforced Concrete Columns Subjected to Lateral and Axial Loads [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1515132459608892

    APA Style (7th edition)

  • Fan, Jinsong. Modeling of Lightly Confined Reinforced Concrete Columns Subjected to Lateral and Axial Loads. 2018. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1515132459608892.

    MLA Style (8th edition)

  • Fan, Jinsong. "Modeling of Lightly Confined Reinforced Concrete Columns Subjected to Lateral and Axial Loads." Doctoral dissertation, Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1515132459608892

    Chicago Manual of Style (17th edition)

osu1515132459608892
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This open access ETD is published by The Ohio State University and OhioLINK.