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Monitoring the Seismic Behavior of a Scaled RC Frame with Intermediate Ductility in a Shaking Table Test

2024/03/03 by Mohammad Vasef, Mohammad Sadegh Marefat, Vasef, Mohammad +5
Engineering · #Computational Engineering #FOS: Computer and information sciences #Finance #Seismic Performance and Analysis #Structural Behavior of Reinforced Concrete #Structural Health Monitoring Techniques #and Science (cs.CE)

paper · pdf · doi:10.48550/arxiv.2403.01587

openalex publication_date 2024/03/03 · openalex created_date 2024/03/06 · openalex updated_date 2026/07/28

Abstract

One of the commonly used seismic force-resisting systems in structures is Reinforced Concrete (RC) Intermediate Moment Frames (IMF). Although using the IMF is not allowed in high seismic hazard zones according to ASCE 7-10, it is permitted in both Iran's 2800 Seismic Standard and New Zealand's Seismic Code. This study investigates the seismic behavior of a reinforced concrete IMF subjected to earthquake excitations using shaking table tests on a 2D RC structural model which is designed under the regulations of ACI318-19. The scale factor of 1/2.78 is selected for the frame fabrication due to the size limit of the shaking table. The constructed model has three stories with a height as 115 cm for each story, the clear length of beams as 151 cm, and cross-sectional dimensions of columns and beams as 11 × 11 cm and 12 × 11 cm, respectively. The whole structure is supported by a foundation that is 173 cm long, 52 cm wide, and 22 cm deep. Columns and beams are reinforced with 8 mm diameter longitudinal ribbed bars and stirrups with 6 mm diameter. The tests are conducted in stages with increasing peak ground acceleration (PGA) till the failure of the frame. Sarpol-E-Zahab earthquake seismic record is adopted for the experiment. The structural responses (e.g., displacements, longitudinal bars' strain, crack propagation, accelerations) are monitored during the test using both conventional sensors and vison-based sensors. As a comparative study, both conventional sensors and computer vision techniques are used to monitor the health state and to analyze the structural dynamics of the scaled RC frame structure.

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