Abstract Details
Activity Number:
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298
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Type:
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Contributed
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Date/Time:
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Tuesday, August 5, 2014 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Physical and Engineering Sciences
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Abstract #313404
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View Presentation
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Title:
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Empirical Estimation of Collapse Capacity of Post-Mainshock Buildings by Generalized Linear Model
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Author(s):
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Ruiqiang Song and Shurong Fang*+ and Yue Li
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Companies:
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Michigan Technological University and and Michigan Technological University
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Keywords:
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generalized linear model ;
empirical estimation ;
collapse capacity
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Abstract:
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During earthquake events, numerous aftershocks are usually recorded following a mainshock and potentially cause further structural damage. This paper empirically estimates the collapse capacity of post-mainshock buildings using the generalized linear model (GLM). In this study, the inelastic spectral displacement is employed to quantify structural collapse capacity. The damage conditions for different buildings may differ greatly. It can significantly affect the collapse capacity and four damage states are considered here. A suite of 62 records with a broad range of earthquake ground motion characteristics are selected to determine collapse capacity by incremental dynamic analysis. The analysis is based on a nonlinear SDOF system and a typical 4-story steel framed building using deterioration models. A GLM of four parameters including the structural fundamental period, frequency content, duration, and damage state, is proposed to predict the collapse capacity. The maximum likelihood estimates of coefficients are determined by the iterative procedure. This research will facilitate the estimation of structural collapse capacity, and improve the current evaluation and design practice.
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Authors who are presenting talks have a * after their name.
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