Nonlinear behavior of fiber reinforced concrete beam-column connections under seismic loading

Date

2025-1

Author

Fares, Anas M. H.

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In moment-resisting frame structures, beam-column connections are susceptible to sudden failure due to extreme loading conditions. To prevent sudden collapse, it is imperative to address factors influencing the connection behavior such as joint shear strength and ductility. Various methods have been implemented to enhance these properties and to improve the Reinforced Concrete (RC) joint response. The use of Fiber Reinforced Concrete (FRC) in the joint and the plastic hinging regions of the adjoining members is one of the preferred methods employed in seismic retrofitting and improving RC connection performance. This study aims to develop a parametric equation to predict the shear strength of FRC beam-column joints, utilizing the experimental results obtained from prior research studies. Furthermore, a nonlinear model that predicts the joint shear stress-deformation response is developed and validated utilizing nonlinear analysis in SAP2000. Additionally, 3D nonlinear finite element analysis is employed in ABAQUS to examine steel fiber reinforced concrete (SFRC) material under compression and tension and identify the most appropriate material models for parametric studies. This is achieved by exploring two scenarios: full SFRC beams, and layered SFRC beams. Lastly, a parametric study is conducted to investigate the seismic behavior of exterior SFRC beam-column connections, focusing on the impact of column axial load ratio, fiber volume fraction, and joint reinforcement ratio. The proposed joint model yields a more accurate structural response, particularly compared to rigid or semi-rigid joint assumptions. Furthermore, considering FRC as a homogeneous material in ABAQUS utilizing the Concrete Damage Plasticity model proves to be efficient.

Subject Keywords

Beam-column connection, Fiber reinforced concrete (FRC), Joint shear strength, Shear strain, Finite element analysis

URI

https://hdl.handle.net/11511/113055

Collections

Graduate School of Natural and Applied Sciences, Thesis