An evaluation method to predict progressive collapse resistance of steel frame structures

Chang Hong Chen, Yan Fei Zhu, Yao Yao, Ying Huang, Xu Long

Research output: Contribution to journalArticlepeer-review

57 Scopus citations

Abstract

In the current work, a probabilistic assessment method of a steel framed building under abrupt removal of a column due to catastrophic events is developed. A multi-story steel framed model taking into account the influence of catenary effect has been analyzed. Uncertainties in the structural variables are incorporated in the probabilistic simulation approach. Based on the changes of component internal energy, the progressive collapse sensitivity to abrupt removal of a column has been investigated. Besides, a simplified beam damage model is proposed to analyze the energies absorbed and dissipated by structural beams under large deflections. In addition, the correlation incorporating catenary action between bending moment and axial force in a beam during the whole deformation development process is studied. With the methodologies adopted for progressive collapse assessment under removal of a column, a deterministic method has been developed, framed within the Advanced First Order Reliability Method (AFORM). A robustness index (RI) is proposed to evaluate the structural robustness performance based on the acceptable probability of global failure and structural collapse probability.

Original languageEnglish
Pages (from-to)238-250
Number of pages13
JournalJournal of Constructional Steel Research
Volume122
DOIs
StatePublished - Jul 2016

Keywords

  • Advanced first order reliability method
  • Energy
  • Probability
  • Progressive collapse
  • Robustness
  • Structural reliability

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