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Structural Engineering and Mechanics Volume 78, Number 3, May10 2021 , pages 351-368 DOI: https://doi.org/10.12989/sem.2021.78.3.351 |
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Seismic vulnerability macrozonation map of SMRFs located in Tehran via reliability framework |
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Ali Amini, Mehdi Kia and Mahmoud Bayat
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| Abstract | ||
| This paper, by applying a reliability-based framework, develops seismic vulnerability macrozonation maps for Tehran, the capital and one of the most earthquake-vulnerable city of Iran. Seismic performance assessment of 3-, 4- and 5- story steel moment resisting frames (SMRFs), designed according to ASCE/SEI 41-17 and Iranian Code of Practice for Seismic Resistant Design of Buildings (2800 Standard), is investigated in terms of overall maximum inter-story drift ratio (MIDR) and unit repair cost ratio which is hereafter known as "damage ratio". To this end, Tehran city is first meshed into a network of 66 points to numerically locate low- to mid-rise SMRFs. Active faults around Tehran are next modeled explicitly. Two different combination of faults, based on available seismological data, are then developed to explore the impact of choosing a proper seismic scenario. In addition, soil effect is exclusively addressed. After building analytical models, reliability methods in combination with structure-specific probabilistic models are applied to predict demand and damage ratio of structures in a cost-effective paradigm. Due to capability of proposed methodology incorporating both aleatory and epistemic uncertainties explicitly, this framework which is centered on the regional demand and damage ratio estimation via structure-specific characteristics can efficiently pave the way for decision makers to find the most vulnerable area in a regional scale. This technical basis can also be adapted to any other structures which the demand and/or damage ratio prediction models are developed. | ||
| Key Words | ||
| regional seismic vulnerability assessment; seismic risk; uncertainty quantification; reliability methods; probabilistic seismic demand analysis; vulnerability assessment; seismic zonation; vulnerability map | ||
| Address | ||
| Ali Amini: Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran Mehdi Kia: Department of Civil and Environmental Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran Mahmoud Bayat: Department of Civil and Environmental Engineering, University of South Carolina, Columbia, USA | ||