TY - JOUR ID - 21072 TI - Uncertainty quantification in seismic collapse assessment of the Iranian code-conforming RC buildings JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Hoseini, S.A. AU - Ghaemian, M. AU - Hariri-Ardebili, M.A. AD - Department of Civil Engineering, Sharif University of Technology, Tehran, Iran. AD - Department of Civil Engineering, University of Colorado, Boulder, USA.; X-Elastica LLC, Boulder, Colorado, USA. Y1 - 2020 PY - 2020 VL - 27 IS - 4 SP - 1786 EP - 1802 KW - Collapse KW - Incremental Dynamic Analysis KW - Fragility curve KW - Confidence Level KW - uncertainty DO - 10.24200/sci.2018.50546.1750 N2 - 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. UR - https://scientiairanica.sharif.edu/article_21072.html L1 - https://scientiairanica.sharif.edu/article_21072_1a155148a08c703406b6bab9ebdce02f.pdf ER -