Steel and Composite Structures

  • 제15권3호
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  • Pages.281-298
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  • 2013
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  • 1229-9367(pISSN)
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  • 1598-6233(eISSN)
테크노프레스 (Techno-Press)
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3D finite element modelling of composite connection of RCS frame subjected to cyclic loading

  • 투고 : 2012.02.19
  • 심사 : 2013.07.14
  • 발행 : 2013.09.25
⟨ 이전 논문 다음 논문 ⟩

초록

Composite special moment frame is one of the systems that are utilized in areas with low to high seismicity to deal with earthquake forces. Composite moment frames are composed of reinforced concrete columns (RC) and steel beams (S); therefore, the connection region is a combination of steel and concrete materials. In current study, a three dimensional finite element model of composite connections is developed. These connections are used in special composite moment frame, between reinforced concrete columns and steel beams (RCS). Finite element model is discussed as a most reliable and low cost method versus experimental procedures. Based on a tested connection model by Cheng and Chen (2005), the finite element model has been developed under cyclic loading and is verified with experimental results. A good agreement between finite element model and experimental results was observed. The connection configuration contains Face Bearing Plates (FBPs), Steel Band Plates (SBPs) enveloping around the RC column just above and below the steel beam. Longitudinal column bars pass through the connection with square ties around them. The finite element model represented a stable response up to the first cycles equal to 4.0% drift, with moderately pinched hysteresis loops and then showed a significant buckling in upper flange of beam, as the in test model.

키워드

참고문헌

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피인용 문헌

  1. Standardization of composite connections for trapezoid web profiled steel sections vol.55, pp.4, 2015, https://doi.org/10.12989/sem.2015.55.4.765
  2. Experimental investigation of steel beam to RC column connection via a through-plate vol.133, 2017, https://doi.org/10.1016/j.jcsr.2017.02.007
  3. FE simulation of S-N curves for a riveted connection using two-stage fatigue models vol.2, pp.4, 2013, https://doi.org/10.12989/acd.2017.2.4.333