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Steel and Composite Structures
  Volume 35, Number 2, April25 2020, pages 199-213
DOI: http://dx.doi.org/10.12989/scs.2020.35.2.199
 


Simplified robustness assessment of steel framed structures under fire-induced column failure
Binhui Jiang, Guo-Qiang Li and Michael C.H. Yam

 
Abstract
    This paper proposes a Global-Local Analysis Method (GLAM) to assess the progressive collapse of steel framed structures under fire-induced column failure. GLAM obtains the overall structural response by combining dynamic analysis of the heated column (local) with static analysis of the overall structure (global). Test results of two steel frames which explicitly consider the dynamic effect during fire-induced column failure were employed to validate the proposed GLAM. Results show that GLAM gives reasonable predictions to the test frames in terms of both whether to collapse and the displacement verse temperature curves. Besides, several case studies of a two-dimensional (2D) steel frame and a three-dimensional (3D) steel frame with concrete slabs were conducted by using GLAM. Results show that GLAM gives the same collapse predictions to the studied cases with nonlinear dynamic analysis of the whole structure model. Compared with nonlinear dynamic analysis of the whole structure model, GLAM saves approximately 70% and 99% CPU time for the cases of 2D and 3D steel frame, respectively. Results also show that the load level of a structure has notable effects on the restraint condition of a heated column in the structure.
 
Key Words
    steel framed structure; progressive collapse; robustness assessment method; fire-induced column failure; dynamic effect
 
Address
Binhui Jiang: School of Civil Engineering, Central South University, 68 South Shaoshan Road, Changsha 410075, China;
Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China
Guo-Qiang Li: College of Civil Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China;
State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China
Michael C.H. Yam: Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China

 

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