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Probabilistic seismic risk assessment of adjacent colliding r/c inelastic structures accounting for record-to-record variability

Skrekas, P., Giaralis, A. ORCID: 0000-0002-2952-1171 and Sextos, A. (2019). Probabilistic seismic risk assessment of adjacent colliding r/c inelastic structures accounting for record-to-record variability. Paper presented at the 4th Hellenic Conference of Earthquake Engineering and Engineering Seismology, 5-7 Sep 2019, Athens, Greece.

Abstract

Seismically excited adjacent buildings with equal floor heights and with inadequate clearance may interact/collide due to out of phase response developing slab-to-slab pounding forces which, although do not induce local damage to structural members, they do influence the overall seismic structural response. Herein, a numerical study is undertaken to quantify, statistically, the above influence in terms of fragility curves conditioned on different limit states widely used in performance-base seismic risk assessment of yielding structures. This is accomplished through incremental dynamic analysis (IDA) for 72 far-field GMs and facilitated by introducing a novel intensity measure, the geometric mean of spectral acceleration at the fundamental periods of the colliding structures, shown to improve efficiency in accounting for GM record-to-record variability. Probabilistic models (fragility curves) are derived for a case-study scenario of two colliding reinforced concrete (r/c) structures with unequal number of floors and ductility capacities (i.e., 12-storey ductility class high and 8-storey ductility class low according to Eurocode 8) modelled as equivalent inelastic SDOF systems. It is found that seismic pounding has significant impact to the median and standard deviation (shape) of fragility curves for a clearance of 10% the minimum required distance specified by Eurocode 8, especially for the higher (12-storey) structure for which pounding is detrimental.

Publication Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TH Building construction
Departments: School of Mathematics, Computer Science & Engineering > Engineering > Civil Engineering
URI: https://openaccess.city.ac.uk/id/eprint/22814
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