Advances in concrete construction

  • 제9권1호
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  • Pages.23-31
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  • 2020
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  • 2287-5301(pISSN)
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  • 2287-531X(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Evaluation of moment amplification factors for RCMRFs designed based on Iranian national building code

  • Habibi, Alireza (Department of Civil Engineering, Shahed University) ;
  • Izadpanah, Mehdi (Department of Civil Engineering, Kermanshah University of Technology) ;
  • Rohani, Sina (Department of Civil Engineering, University of Kurdistan)
  • 투고 : 2019.08.04
  • 심사 : 2019.10.05
  • 발행 : 2020.01.25
⟨ 이전 논문 다음 논문 ⟩

초록

Geometric nonlinearity can significantly affect load-carrying capacity of slender columns. Dependence of structural stability on columns necessitates the consideration of second-order effects in the design process of columns, appropriately. On the whole, the design codes present a simplified procedure for second order analysis of slender columns. In this approximate method, the end moments of columns resulted from linear analysis (first-order) are multiplied by the recommended moment amplification factors of codes to achieve magnified moments of the second-order analysis. In the other approach, the equilibrium equations are directly solved for the deformed configuration of structure, so the resulting moments and deflections contain the influence of slenderness and increase more rapidly than do loads. The aim of this study is to evaluate the accuracy of moment amplification factors of Iranian national building code whose provisions are similar to the ACI requirement. Herein, finite element method is used to achieve magnified end moments of reinforced concrete moment resisting frames, and the outcomes are compared with the moments acquired based on the proposed approximate method by Iranian national building code. The results show that the approximate method of Iranian code for calculating magnified moments has significant errors for both unbraced and braced columns.

키워드

참고문헌

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피인용 문헌

  1. A new procedure for post-buckling analysis of plane trusses using genetic algorithm vol.40, pp.6, 2020, https://doi.org/10.12989/scs.2021.40.6.817