Loading…

A spectral assessment for instant preliminary evaluation of structures after seismic events

This article introduces a simple, efficient spectral-based approach for rapid preliminary seismic assessment of earthquake-affected structures. Performance is validated using data from three highly earthquake-affected structures in New Zealand, where visual inspection with subjective outcomes missed...

Full description

Saved in:
Bibliographic Details
Published in:Earthquake spectra 2024-08, Vol.40 (3), p.2059-2091
Main Authors: Rabiepour, Mohammad, Chase, James Geoffrey, Zhou, Cong
Format: Article
Language:English
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-a259t-d0b883ab39d6b71f51163df0e2de776dcabebe16e7f05382f5d17fd9fb1f66bf3
container_end_page 2091
container_issue 3
container_start_page 2059
container_title Earthquake spectra
container_volume 40
creator Rabiepour, Mohammad
Chase, James Geoffrey
Zhou, Cong
description This article introduces a simple, efficient spectral-based approach for rapid preliminary seismic assessment of earthquake-affected structures. Performance is validated using data from three highly earthquake-affected structures in New Zealand, where visual inspection with subjective outcomes missed damage, resulting in inaccurate and delayed decisions with significant social and economic losses. The three structures considered include (1) the instrumented Bank of New Zealand (BNZ) building; (2) the un-instrumented Queensgate Mall (QM) Complex; and (3) the un-instrumented Canterbury Television (CTV) building. This study uses these cases to highlight the importance of structural health monitoring (SHM) instrumentation and reliable quantified post-earthquake assessment methods in earthquake-prone areas, where each damaging earthquake and subsequent further-damaging aftershocks demand continuous monitoring to continuously assess damage and life safety risk. The simple, low-cost spectral analyses in this study clearly show the existence of damage and deterioration not fully discovered with standard visual inspection methods. This outcome highlights the importance of sensor networks and SHM instrumentation so quantitative, post-event analysis can rapidly augment and target further, more subjective visual inspection results.
doi_str_mv 10.1177/87552930241246151
format article
fullrecord <record><control><sourceid>sage_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1177_87552930241246151</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_87552930241246151</sage_id><sourcerecordid>10.1177_87552930241246151</sourcerecordid><originalsourceid>FETCH-LOGICAL-a259t-d0b883ab39d6b71f51163df0e2de776dcabebe16e7f05382f5d17fd9fb1f66bf3</originalsourceid><addsrcrecordid>eNp9kM1KBDEQhIMouK4-gLe8wKzpzCSZOS6Lf7DgRU8ehmTSkSzzs6Qzgm_vLHoTPHVB11cUxdgtiA2AMXe1UUo2pZAVyEqDgjO2gqaqiloKOGer0784GS7ZFdFBCNCVECv2vuV0xC4n23NLhEQDjpmHKfE4UraLPibs4xBHm744ftp-tjlOI58Cp5zmLs8JiduQMXHCSEPsFtsSQtfsItie8Ob3rtnbw_3r7qnYvzw-77b7wkrV5MILV9eldWXjtTMQFIAufRAoPRqjfWcdOgSNJghV1jIoDyb4JjgIWrtQrhn85HZpIkoY2mOKw1K3BdGe1mn_rLMwmx-G7Ae2h2lO41LxH-Abu-Jnxw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>A spectral assessment for instant preliminary evaluation of structures after seismic events</title><source>SAGE</source><creator>Rabiepour, Mohammad ; Chase, James Geoffrey ; Zhou, Cong</creator><creatorcontrib>Rabiepour, Mohammad ; Chase, James Geoffrey ; Zhou, Cong</creatorcontrib><description>This article introduces a simple, efficient spectral-based approach for rapid preliminary seismic assessment of earthquake-affected structures. Performance is validated using data from three highly earthquake-affected structures in New Zealand, where visual inspection with subjective outcomes missed damage, resulting in inaccurate and delayed decisions with significant social and economic losses. The three structures considered include (1) the instrumented Bank of New Zealand (BNZ) building; (2) the un-instrumented Queensgate Mall (QM) Complex; and (3) the un-instrumented Canterbury Television (CTV) building. This study uses these cases to highlight the importance of structural health monitoring (SHM) instrumentation and reliable quantified post-earthquake assessment methods in earthquake-prone areas, where each damaging earthquake and subsequent further-damaging aftershocks demand continuous monitoring to continuously assess damage and life safety risk. The simple, low-cost spectral analyses in this study clearly show the existence of damage and deterioration not fully discovered with standard visual inspection methods. This outcome highlights the importance of sensor networks and SHM instrumentation so quantitative, post-event analysis can rapidly augment and target further, more subjective visual inspection results.</description><identifier>ISSN: 8755-2930</identifier><identifier>EISSN: 1944-8201</identifier><identifier>DOI: 10.1177/87552930241246151</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><ispartof>Earthquake spectra, 2024-08, Vol.40 (3), p.2059-2091</ispartof><rights>The Author(s) 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-a259t-d0b883ab39d6b71f51163df0e2de776dcabebe16e7f05382f5d17fd9fb1f66bf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904,79110</link.rule.ids></links><search><creatorcontrib>Rabiepour, Mohammad</creatorcontrib><creatorcontrib>Chase, James Geoffrey</creatorcontrib><creatorcontrib>Zhou, Cong</creatorcontrib><title>A spectral assessment for instant preliminary evaluation of structures after seismic events</title><title>Earthquake spectra</title><description>This article introduces a simple, efficient spectral-based approach for rapid preliminary seismic assessment of earthquake-affected structures. Performance is validated using data from three highly earthquake-affected structures in New Zealand, where visual inspection with subjective outcomes missed damage, resulting in inaccurate and delayed decisions with significant social and economic losses. The three structures considered include (1) the instrumented Bank of New Zealand (BNZ) building; (2) the un-instrumented Queensgate Mall (QM) Complex; and (3) the un-instrumented Canterbury Television (CTV) building. This study uses these cases to highlight the importance of structural health monitoring (SHM) instrumentation and reliable quantified post-earthquake assessment methods in earthquake-prone areas, where each damaging earthquake and subsequent further-damaging aftershocks demand continuous monitoring to continuously assess damage and life safety risk. The simple, low-cost spectral analyses in this study clearly show the existence of damage and deterioration not fully discovered with standard visual inspection methods. This outcome highlights the importance of sensor networks and SHM instrumentation so quantitative, post-event analysis can rapidly augment and target further, more subjective visual inspection results.</description><issn>8755-2930</issn><issn>1944-8201</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>AFRWT</sourceid><recordid>eNp9kM1KBDEQhIMouK4-gLe8wKzpzCSZOS6Lf7DgRU8ehmTSkSzzs6Qzgm_vLHoTPHVB11cUxdgtiA2AMXe1UUo2pZAVyEqDgjO2gqaqiloKOGer0784GS7ZFdFBCNCVECv2vuV0xC4n23NLhEQDjpmHKfE4UraLPibs4xBHm744ftp-tjlOI58Cp5zmLs8JiduQMXHCSEPsFtsSQtfsItie8Ob3rtnbw_3r7qnYvzw-77b7wkrV5MILV9eldWXjtTMQFIAufRAoPRqjfWcdOgSNJghV1jIoDyb4JjgIWrtQrhn85HZpIkoY2mOKw1K3BdGe1mn_rLMwmx-G7Ae2h2lO41LxH-Abu-Jnxw</recordid><startdate>20240801</startdate><enddate>20240801</enddate><creator>Rabiepour, Mohammad</creator><creator>Chase, James Geoffrey</creator><creator>Zhou, Cong</creator><general>SAGE Publications</general><scope>AFRWT</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20240801</creationdate><title>A spectral assessment for instant preliminary evaluation of structures after seismic events</title><author>Rabiepour, Mohammad ; Chase, James Geoffrey ; Zhou, Cong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a259t-d0b883ab39d6b71f51163df0e2de776dcabebe16e7f05382f5d17fd9fb1f66bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rabiepour, Mohammad</creatorcontrib><creatorcontrib>Chase, James Geoffrey</creatorcontrib><creatorcontrib>Zhou, Cong</creatorcontrib><collection>SAGE Journals Open Access</collection><collection>CrossRef</collection><jtitle>Earthquake spectra</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rabiepour, Mohammad</au><au>Chase, James Geoffrey</au><au>Zhou, Cong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A spectral assessment for instant preliminary evaluation of structures after seismic events</atitle><jtitle>Earthquake spectra</jtitle><date>2024-08-01</date><risdate>2024</risdate><volume>40</volume><issue>3</issue><spage>2059</spage><epage>2091</epage><pages>2059-2091</pages><issn>8755-2930</issn><eissn>1944-8201</eissn><abstract>This article introduces a simple, efficient spectral-based approach for rapid preliminary seismic assessment of earthquake-affected structures. Performance is validated using data from three highly earthquake-affected structures in New Zealand, where visual inspection with subjective outcomes missed damage, resulting in inaccurate and delayed decisions with significant social and economic losses. The three structures considered include (1) the instrumented Bank of New Zealand (BNZ) building; (2) the un-instrumented Queensgate Mall (QM) Complex; and (3) the un-instrumented Canterbury Television (CTV) building. This study uses these cases to highlight the importance of structural health monitoring (SHM) instrumentation and reliable quantified post-earthquake assessment methods in earthquake-prone areas, where each damaging earthquake and subsequent further-damaging aftershocks demand continuous monitoring to continuously assess damage and life safety risk. The simple, low-cost spectral analyses in this study clearly show the existence of damage and deterioration not fully discovered with standard visual inspection methods. This outcome highlights the importance of sensor networks and SHM instrumentation so quantitative, post-event analysis can rapidly augment and target further, more subjective visual inspection results.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1177/87552930241246151</doi><tpages>33</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 8755-2930
ispartof Earthquake spectra, 2024-08, Vol.40 (3), p.2059-2091
issn 8755-2930
1944-8201
language eng
recordid cdi_crossref_primary_10_1177_87552930241246151
source SAGE
title A spectral assessment for instant preliminary evaluation of structures after seismic events
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T05%3A19%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-sage_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20spectral%20assessment%20for%20instant%20preliminary%20evaluation%20of%20structures%20after%20seismic%20events&rft.jtitle=Earthquake%20spectra&rft.au=Rabiepour,%20Mohammad&rft.date=2024-08-01&rft.volume=40&rft.issue=3&rft.spage=2059&rft.epage=2091&rft.pages=2059-2091&rft.issn=8755-2930&rft.eissn=1944-8201&rft_id=info:doi/10.1177/87552930241246151&rft_dat=%3Csage_cross%3E10.1177_87552930241246151%3C/sage_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a259t-d0b883ab39d6b71f51163df0e2de776dcabebe16e7f05382f5d17fd9fb1f66bf3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_sage_id=10.1177_87552930241246151&rfr_iscdi=true