• Title of article

    Uncertainty quantification in seismic collapse assessment of the Iranian code-conforming RC buildings

  • Author/Authors

    Hoseini, Abbas Department of Civil Engineering - Sharif University of Technology - Tehran - Iran , Ghaemian, Mohsen Department of Civil Engineering - Sharif University of Technology - Tehran - Iran , Hariri-Ardebili, Mohammad Amin Department of Civil Engineering - University of Colorado - Boulder - USA. c. X-Elastica LLC - Boulder - Colorado - USA

  • Pages
    17
  • From page
    1786
  • To page
    1802
  • Abstract
    Structural collapse is the main concern in the existing structures which are built in the seismic-prone regions. Therefore, the primary goal of the seismic provisions in building codes is to prevent the global collapse. Iran is located in the Alpine-Himalayan belt, and has experienced some of the most destructive earthquakes in the past century. To evaluate the extent to which the Iranian building code provisions meet this objective, the authors have conducted a detailed assessment of collapse risk on a set of moderate moment resisting reinforced concrete (RC) buildings. This study considers P-Delta effects, deterioration in strength and stiffness, and cyclic deterioration in structural components. Structural assessment is performed using OpenSees platform and the multiple-record incremental dynamic analysis (IDA). Results are presented in terms of the IDA capacity curves and the collapse fragility functions at different seismic hazard levels. Results show that probability of instability increases with height of the buildings. Moreover, the collapse confidence level was evaluated considering the available uncertainties. Assuming a minimum confidence level of 90% for the buildings, the collapse prevention limit state under the 2%/50 hazard level is not satisfied for the 9 and 12 story frames, and they need to re-designed. Keywords
  • Keywords
    Collapse , Incremental Dynamic Analysis , Fragility curve , Confidence Level , uncertainty
  • Journal title
    Scientia Iranica(Transactions A: Civil Engineering)
  • Serial Year
    2020
  • Record number

    2552773