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Finite Element Analysis of Reinforced Concrete Single-Column Bridge Bent with Flexural Failure Under Near-Fault Ground Motion
This paper investigated seismic performance of reinforced concrete (RC) single-column bridge bent with flexural failure under near-fault ground motion. Innovative nonlinear fiber-based finite element models (FEM) with combined damage mechanisms were proposed. Cracking and spalling of cover concrete, buckling of longitudinal reinforcing steel bars, and bond-slip effect were considered. To study bond-slip effect, two FEM were developed: model 1 (without bond-slip) and model 2 (with bond-slip). Nonlinear static cyclic pushover analyses and nonlinear response history analyses under scaled near-fault ground motion were conducted. The simulation results were compared with available pseudo-dynamic test results. Various ductility coefficients were evaluated to assess the seismic performance of RC bridge column. The attributes of near-fault ground motion on the seismic responses of RC bridge column were discussed. Model 1 overestimated the ultimate lateral load resistance, longitudinal reinforcing steel bar strain, and cover concrete strain. Model 1 also underestimated the lateral deflection of RC bridge column. The results of model 2 agree well with experimental observations including hysteretic responses and damage mechanisms. In general, the predictions of both models are in good agreement with the experimental observations. However, model 2 provides improved predictions on the seismic performance of RC single-column bridge bent under near-fault ground motion. It was also observed that maximum responses of RC bridge columns under near-fault motion were characterized by one or few large hysteretic cycles. The proposed models could also help practicing engineers and researchers simulate seismic performance of RC bridge columns under near-fault ground motions in a computationally efficient manner.
Finite Element Analysis of Reinforced Concrete Single-Column Bridge Bent with Flexural Failure Under Near-Fault Ground Motion
This paper investigated seismic performance of reinforced concrete (RC) single-column bridge bent with flexural failure under near-fault ground motion. Innovative nonlinear fiber-based finite element models (FEM) with combined damage mechanisms were proposed. Cracking and spalling of cover concrete, buckling of longitudinal reinforcing steel bars, and bond-slip effect were considered. To study bond-slip effect, two FEM were developed: model 1 (without bond-slip) and model 2 (with bond-slip). Nonlinear static cyclic pushover analyses and nonlinear response history analyses under scaled near-fault ground motion were conducted. The simulation results were compared with available pseudo-dynamic test results. Various ductility coefficients were evaluated to assess the seismic performance of RC bridge column. The attributes of near-fault ground motion on the seismic responses of RC bridge column were discussed. Model 1 overestimated the ultimate lateral load resistance, longitudinal reinforcing steel bar strain, and cover concrete strain. Model 1 also underestimated the lateral deflection of RC bridge column. The results of model 2 agree well with experimental observations including hysteretic responses and damage mechanisms. In general, the predictions of both models are in good agreement with the experimental observations. However, model 2 provides improved predictions on the seismic performance of RC single-column bridge bent under near-fault ground motion. It was also observed that maximum responses of RC bridge columns under near-fault motion were characterized by one or few large hysteretic cycles. The proposed models could also help practicing engineers and researchers simulate seismic performance of RC bridge columns under near-fault ground motions in a computationally efficient manner.
Finite Element Analysis of Reinforced Concrete Single-Column Bridge Bent with Flexural Failure Under Near-Fault Ground Motion
Int J Civ Eng
Ko, Yu-Fu (Autor:in)
International Journal of Civil Engineering ; 20 ; 237-256
01.03.2022
20 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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