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Ruiqiang Song

Michigan Technological University



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Shurong Fang

Fairfield University Yue Li, Michigan Technological University



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Yue Li

CEE/Michigan Tech University



298 – Experimental Design and Statistical Engineering: Estimation with Constraints

Empirical Estimation of Collapse Capacity of Post-Mainshock Buildings by Generalized Linear Model

Sponsor: Section on Physical and Engineering Sciences
Keywords: generalized linear model, empirical estimation, collapse capacity

Ruiqiang Song

Michigan Technological University

Shurong Fang

Fairfield University Yue Li, Michigan Technological University

Yue Li

CEE/Michigan Tech University

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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