Proposed methodology for building‐specific earthquake loss assessment including column residual axial shortening
Proposed methodology for building‐specific earthquake loss assessment including column residual axial shortening
This paper proposes methodological developments for quantifying the impact of residual axial shortening of first‐story steel columns on earthquake loss estimations in steel moment‐resisting frame (MRF) buildings. A new formulation is proposed that accounts for the likelihood of having to demolish a steel MRF building due to column residual axial deformations in addition to residual story‐drift ratios. The formulation is informed by means of data from a comprehensive survey conducted worldwide to assess the likelihood of steel column repairability due to residual axial shortening. A practical method for quantifying column axial‐shortening in parameterized system‐level numerical simulations is presented. The proposed approach is illustrated by conducting economic seismic loss estimations in two case‐study steel MRF buildings designed in urban California according to the current seismic design practice. It is found that when the ground‐motion duration is appreciable, the examined steel MRFs are more prone to column axial‐shortening than residual story‐drifts at moderate to high seismic intensities. The results suggest that economic losses due to demolition may be underestimated if column residual axial‐shortening is neglected from loss estimations. Limitations as well as directions for future research are discussed.
1-17
Elkady, Ahmed
8e55de89-dff4-4f84-90ed-6af476e328a8
Lignos, Dimitrios G.
9f55ad65-7b12-4ad6-972c-5a967ec0497b
Güell, Gerrard
fa88ca9a-1cc1-4412-a9f3-39ba5df44b2f
Elkady, Ahmed
8e55de89-dff4-4f84-90ed-6af476e328a8
Lignos, Dimitrios G.
9f55ad65-7b12-4ad6-972c-5a967ec0497b
Güell, Gerrard
fa88ca9a-1cc1-4412-a9f3-39ba5df44b2f
Elkady, Ahmed, Lignos, Dimitrios G. and Güell, Gerrard
(2019)
Proposed methodology for building‐specific earthquake loss assessment including column residual axial shortening.
Earthquake Engineering & Structural Dynamics, .
(doi:10.1002/eqe.3242).
Abstract
This paper proposes methodological developments for quantifying the impact of residual axial shortening of first‐story steel columns on earthquake loss estimations in steel moment‐resisting frame (MRF) buildings. A new formulation is proposed that accounts for the likelihood of having to demolish a steel MRF building due to column residual axial deformations in addition to residual story‐drift ratios. The formulation is informed by means of data from a comprehensive survey conducted worldwide to assess the likelihood of steel column repairability due to residual axial shortening. A practical method for quantifying column axial‐shortening in parameterized system‐level numerical simulations is presented. The proposed approach is illustrated by conducting economic seismic loss estimations in two case‐study steel MRF buildings designed in urban California according to the current seismic design practice. It is found that when the ground‐motion duration is appreciable, the examined steel MRFs are more prone to column axial‐shortening than residual story‐drifts at moderate to high seismic intensities. The results suggest that economic losses due to demolition may be underestimated if column residual axial‐shortening is neglected from loss estimations. Limitations as well as directions for future research are discussed.
Text
Manuscript
- Accepted Manuscript
More information
Accepted/In Press date: 23 November 2019
e-pub ahead of print date: 13 December 2019
Identifiers
Local EPrints ID: 436871
URI: http://eprints.soton.ac.uk/id/eprint/436871
ISSN: 0098-8847
PURE UUID: 47836391-5ca9-4779-b29b-d9d915096b22
Catalogue record
Date deposited: 13 Jan 2020 17:30
Last modified: 17 Mar 2024 05:09
Export record
Altmetrics
Contributors
Author:
Dimitrios G. Lignos
Author:
Gerrard Güell
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics