Application of steel equivalent constitutive model for predicting seismic behavior of steel frame

  • Wang, Meng (School of Civil Engineering, Beijing Jiaotong University) ;
  • Shi, Yongjiu (Department of Civil Engineering, Tsinghua University) ;
  • Wang, Yuanqing (Department of Civil Engineering, Tsinghua University)
  • Received : 2014.02.16
  • Accepted : 2015.06.24
  • Published : 2015.11.25


In order to investigate the accuracy and applicability of steel equivalent constitutive model, the calculated results were compared with typical tests of steel frames under static and dynamic loading patterns firstly. Secondly, four widely used models for time history analysis of steel frames were compared to discuss the applicability and efficiency of different methods, including shell element model, multi-scale model, equivalent constitutive model (ECM) and traditional beam element model (especially bilinear model). Four-story steel frame models of above-mentioned finite element methods were established. The structural deformation, failure modes and the computational efficiency of different models were compared. Finally, the equivalent constitutive model was applied in seismic incremental dynamic analysis of a ten-floor steel frame and compared with the cyclic hardening model without considering damage and degradation. Meanwhile, the effects of damage and degradation on the seismic performance of steel frame were discussed in depth. The analysis results showed that: damages would lead to larger deformations. Therefore, when the calculated results of steel structures subjected to rare earthquake without considering damage were close to the collapse limit, the actual story drift of structure might already exceed the limit, leading to a certain security risk. ECM could simulate the damage and degradation behaviors of steel structures more accurately, and improve the calculation accuracy of traditional beam element model with acceptable computational efficiency.


Supported by : National Natural Science Foundation, Beijing Natural Science Foundation, Central Universities


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