DOI QR코드

DOI QR Code

Analysis and design of demountable embedded steel column base connections

  • Li, Dongxu (Centre for Infrastructure Engineering and Safety, School of Civil and Environmental Engineering, The University of New South Wales) ;
  • Uy, Brian (Centre for Infrastructure Engineering and Safety, School of Civil and Environmental Engineering, The University of New South Wales) ;
  • Patel, Vipul (School of Engineering and Mathematical Sciences, College of Science, Health and Engineering, La Trobe University) ;
  • Aslani, Farhad (School of Civil, Environmental and Mining Engineering, The University of Western Australia)
  • 투고 : 2016.09.13
  • 심사 : 2017.01.06
  • 발행 : 2017.02.28

초록

This paper describes the finite element model for predicting the fundamental performance of embedded steel column base connections under monotonic and cyclic loading. Geometric and material nonlinearities were included in the proposed finite element model. Bauschinger and pinching effects were considered in the simulation of embedded column base connections under cyclic loading. The degradation of steel yield strength and accumulation of plastic damage can be well simulated. The accuracy of the finite element model is examined by comparing the predicted results with independent experimental dataset. It is demonstrated that the finite element model accurately predicts the behaviour and failure models of the embedded steel column base connections. The finite element model is extended to carry out evaluations and parametric studies. The investigated parameters include column embedded length, concrete strength, axial load and base plate thickness. Moreover, analytical models for predicting the initial stiffness and bending moment strength of the embedded column base connection were developed. The comparison between results from analytical models and those from experiments and finite element analysis proved the developed analytical model was accurate and conservative for design purposes.

키워드

과제정보

연구 과제 주관 기관 : Australian Research Council (ARC)

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