Seismic damage estimation of in-plane regular steel/concrete composite moment resisting frames

George S. Kamaris, Konstantinos Skalomenos, George D. Hatzigeorgiou*, Dimitri E. Beskos

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


Simple empirical expressions to estimate maximum seismic damage on the basis of four well known damage indices for planar regular steel/concrete composite moment resisting frames having steel I beams and concrete filled steel tube (CFT) columns are presented. These expressions are based on the results of an extensive parametric study concerning the inelastic response of a large number of frames to a large number of ordinary far-field type ground motions. Thousands of nonlinear dynamic analyses are performed by scaling the seismic records to different intensities in order to drive the structures to different levels of inelastic deformation. The statistical analysis of the created response databank indicates that the number of stories, beam strength ratio, material strength and ground motion characteristics strongly influence structural damage. Nonlinear regression analysis is employed in order to derive simple formulae, which reflect the influence of the aforementioned parameters and offer a direct estimation of the damage indices used in this study. More specifically, given the characteristics of the structure and the ground motion, one can calculate the maximum damage observed in column bases and beams. Finally, three examples serve to illustrate the use of the proposed expressions and demonstrate their accuracy and efficiency.

Original languageEnglish
Pages (from-to)67-77
Number of pages11
JournalEngineering Structures
Early online date3 Mar 2016
Publication statusPublished - 15 May 2016


  • Damage indices
  • Moment resisting frames
  • Ordinary ground motions
  • Seismic assessment
  • Steel/concrete composite frames

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Safety, Risk, Reliability and Quality


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