DOI QR코드

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Modelling of reinforced concrete flat slab-column connections for system-scale seismic analyses of high-rise buildings

  • T.Y., Yang (Department of Civil Engineering, University of British Columbia) ;
  • O., AlHarras (School of Engineering, University of British Columbia) ;
  • L., Tobber (School of Engineering, University of British Columbia) ;
  • O., Sargazi (School of Engineering, University of British Columbia)
  • 투고 : 2020.09.06
  • 심사 : 2022.11.10
  • 발행 : 2023.01.25

초록

Reinforced concrete flat slab (RCFS) with columns is a standard gravity floor system for tall buildings in North America. Typically, RCFS-column connections are designed to resist gravity loads, and their contribution to resisting seismic forces is ignored. However, past experimental research has shown that RCFS-column connections have some strength and ductility, which may not be ignored. Advanced numerical models have been developed in the past to determine the nonlinear cyclic behavior of RCFS-column connections. However, these models are either too complicated for nonlinear dynamic analysis of an entire building or not developed to model the behavior of modern RCFS-column connections. This paper proposes a new nonlinear model suitable for modern RCFS-column connections. The numerical model is verified using experimental data of specimens with various material and reinforcement properties. A 40-story RC shear wall building was designed and analyzed to investigate the influence of RCFS on the global response of tall concrete buildings. The seismic responses of the building with and without the RCFS were modelled and compared. The results show that the modelling of RCFS has a significant impact on the inter-story drifts and force demands on both the seismic force-resisting and gravity elements.

키워드

과제정보

The authors would like to acknowledge the funding provided by the International Joint Research Laboratory of Earthquake Engineering (ILEE), National Science Foundation China (51778486), Canadian Institute of Steel Construction (CISC) to support the graduate students.

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