PEFORMANCE OF EXISTING REINFORCED CONCRETE COLUMNS UNDER BIDIRECTIONAL SHEAR AND AXIA

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PEFORMANCE OF EXISTING REINFORCED CONCRETE COLUMNS UNDER BIDIRECTIONAL SHEAR AND AXIAL LOADING

Author: Laura M. Flores | Size: 1.07 MB | Format: PDF | Quality: Unspecified | Publisher: University of California, San Diego REU Institution: University of California, Berkeley REU Advisor: Professor Jack P. Moehle | pages: 42

Many existing reinforced concrete structures were designed before the introduction of modern seismic code and are thus vulnerable to collapse in the event of an earthquake. It is often more economically feasible to retrofit these structural components than to completely replace them. In order to strengthen these susceptible reinforced concrete structures against seismic loading, it is important to understand the progression of damage and mechanisms causing collapse in such structures under both gravity and seismic loads. Large-scale shake table testing and verification studies are currently being conducted at UC Berkeley-PEER to aid in the development of an OpenSees analytical model which will simulate and predict the hysteretic response of existing reinforced concrete structures in future verification studies.
The purpose of this study was to produce column hysteretic data used to calibrate the OpenSees analytical model. Empirical capacity models were used to predict the hysteretic response of shear-critical reinforced concrete columns under gravity and seismic loading; in particular, shear failure and axial load collapse of these columns were closely examined. Based on pre-seismic ACI code, a column cross sectional analysis was completed to determine the undamaged capacity of the column. A one-third scale model of the column was fabricated and an experimental setup allowing bi-directional loading (for simulation of seismic and gravity loads) was designed and constructed. Column specimens were then subjected to quasi-static testing and the measured column hysteretic response was compared to that predicted by empirical capacity models which form the basis of the OpenSees analytical model.

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