Reconnaissance and learning after the February 6, 2018, earthquake in Hualien, Taiwan
An earthquake with an epicenter offshore of Hualien City in eastern Taiwan occurred at midnight on February 6, 2018. The Richter magnitude (M L ) of the earthquake was 6.26 and the seismic intensity ranged up to level VII, the strongest seismic intensity level regulated in Taiwan. Almost all the maj...
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Veröffentlicht in: | Bulletin of earthquake engineering 2020-08, Vol.18 (10), p.4725-4754 |
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creator | Lin, Jui-Liang Kuo, Chun-Hsiang Chang, Yu-Wen Chao, Shu-Hsien Li, Yi-An Shen, Wen-Cheng Yu, Chung-Han Yang, Cho-Yen Lin, Fan-Ru Hung, Hsiao-Hui Chen, Chun-Chung Su, Chin-Kuo Hsu, Shang-Yi Lu, Chih-Chieh Chung, Lap-Loi Hwang, Shyh-Jiann |
description | An earthquake with an epicenter offshore of Hualien City in eastern Taiwan occurred at midnight on February 6, 2018. The Richter magnitude (M
L
) of the earthquake was 6.26 and the seismic intensity ranged up to level VII, the strongest seismic intensity level regulated in Taiwan. Almost all the major damage resulting from this seismic event was occurred near both sides of the Milun Fault, where records from nearby strong motion stations displayed the characteristics of near-fault ground motions. The main seismic damage was the collapse of four buildings with soft bottom stories, one of which resulted in fourteen of the seventeen total fatalities. Comparing the acceleration response spectra with the design response spectra sheds light on the effects of near-fault ground motions on the collapsed buildings. Based on the eventual forms of collapsed buildings, building collapses that have generally led to major casualties in past seismic events around the world can be classified into sit-down, knee-down and lie-down types. In addition to the four collapsed buildings, seismic reconnaissance on other buildings, bridges, ports, and non-structural components have also been conducted. This study explores the issues and challenges arising from the reconnaissance results and thereby enhances learning from the seismic event. |
doi_str_mv | 10.1007/s10518-020-00878-0 |
format | Article |
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L
) of the earthquake was 6.26 and the seismic intensity ranged up to level VII, the strongest seismic intensity level regulated in Taiwan. Almost all the major damage resulting from this seismic event was occurred near both sides of the Milun Fault, where records from nearby strong motion stations displayed the characteristics of near-fault ground motions. The main seismic damage was the collapse of four buildings with soft bottom stories, one of which resulted in fourteen of the seventeen total fatalities. Comparing the acceleration response spectra with the design response spectra sheds light on the effects of near-fault ground motions on the collapsed buildings. Based on the eventual forms of collapsed buildings, building collapses that have generally led to major casualties in past seismic events around the world can be classified into sit-down, knee-down and lie-down types. In addition to the four collapsed buildings, seismic reconnaissance on other buildings, bridges, ports, and non-structural components have also been conducted. This study explores the issues and challenges arising from the reconnaissance results and thereby enhances learning from the seismic event.</description><identifier>ISSN: 1570-761X</identifier><identifier>EISSN: 1573-1456</identifier><identifier>DOI: 10.1007/s10518-020-00878-0</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Bridge failure ; Bridges ; Building failures ; Buildings ; Casualties ; Civil Engineering ; Collapse ; Earth and Environmental Science ; Earth Sciences ; Earthquake damage ; Earthquakes ; Environmental Engineering/Biotechnology ; Geophysics/Geodesy ; Geotechnical Engineering & Applied Earth Sciences ; Ground motion ; Hydrogeology ; Learning ; Offshore ; Original Research ; Reconnaissance ; Response spectra ; Seismic activity ; Spectra ; Structural Geology</subject><ispartof>Bulletin of earthquake engineering, 2020-08, Vol.18 (10), p.4725-4754</ispartof><rights>Springer Nature B.V. 2020</rights><rights>Springer Nature B.V. 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-fe52e28c1baf5e9c2d20417c4b4b533c12ed8342dcac9894ea7203c92c1d14613</citedby><cites>FETCH-LOGICAL-c319t-fe52e28c1baf5e9c2d20417c4b4b533c12ed8342dcac9894ea7203c92c1d14613</cites><orcidid>0000-0002-7351-1624</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10518-020-00878-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10518-020-00878-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Lin, Jui-Liang</creatorcontrib><creatorcontrib>Kuo, Chun-Hsiang</creatorcontrib><creatorcontrib>Chang, Yu-Wen</creatorcontrib><creatorcontrib>Chao, Shu-Hsien</creatorcontrib><creatorcontrib>Li, Yi-An</creatorcontrib><creatorcontrib>Shen, Wen-Cheng</creatorcontrib><creatorcontrib>Yu, Chung-Han</creatorcontrib><creatorcontrib>Yang, Cho-Yen</creatorcontrib><creatorcontrib>Lin, Fan-Ru</creatorcontrib><creatorcontrib>Hung, Hsiao-Hui</creatorcontrib><creatorcontrib>Chen, Chun-Chung</creatorcontrib><creatorcontrib>Su, Chin-Kuo</creatorcontrib><creatorcontrib>Hsu, Shang-Yi</creatorcontrib><creatorcontrib>Lu, Chih-Chieh</creatorcontrib><creatorcontrib>Chung, Lap-Loi</creatorcontrib><creatorcontrib>Hwang, Shyh-Jiann</creatorcontrib><title>Reconnaissance and learning after the February 6, 2018, earthquake in Hualien, Taiwan</title><title>Bulletin of earthquake engineering</title><addtitle>Bull Earthquake Eng</addtitle><description>An earthquake with an epicenter offshore of Hualien City in eastern Taiwan occurred at midnight on February 6, 2018. The Richter magnitude (M
L
) of the earthquake was 6.26 and the seismic intensity ranged up to level VII, the strongest seismic intensity level regulated in Taiwan. Almost all the major damage resulting from this seismic event was occurred near both sides of the Milun Fault, where records from nearby strong motion stations displayed the characteristics of near-fault ground motions. The main seismic damage was the collapse of four buildings with soft bottom stories, one of which resulted in fourteen of the seventeen total fatalities. Comparing the acceleration response spectra with the design response spectra sheds light on the effects of near-fault ground motions on the collapsed buildings. Based on the eventual forms of collapsed buildings, building collapses that have generally led to major casualties in past seismic events around the world can be classified into sit-down, knee-down and lie-down types. In addition to the four collapsed buildings, seismic reconnaissance on other buildings, bridges, ports, and non-structural components have also been conducted. This study explores the issues and challenges arising from the reconnaissance results and thereby enhances learning from the seismic event.</description><subject>Bridge failure</subject><subject>Bridges</subject><subject>Building failures</subject><subject>Buildings</subject><subject>Casualties</subject><subject>Civil Engineering</subject><subject>Collapse</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earthquake damage</subject><subject>Earthquakes</subject><subject>Environmental Engineering/Biotechnology</subject><subject>Geophysics/Geodesy</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Ground motion</subject><subject>Hydrogeology</subject><subject>Learning</subject><subject>Offshore</subject><subject>Original Research</subject><subject>Reconnaissance</subject><subject>Response spectra</subject><subject>Seismic activity</subject><subject>Spectra</subject><subject>Structural 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of Hualien City in eastern Taiwan occurred at midnight on February 6, 2018. The Richter magnitude (M
L
) of the earthquake was 6.26 and the seismic intensity ranged up to level VII, the strongest seismic intensity level regulated in Taiwan. Almost all the major damage resulting from this seismic event was occurred near both sides of the Milun Fault, where records from nearby strong motion stations displayed the characteristics of near-fault ground motions. The main seismic damage was the collapse of four buildings with soft bottom stories, one of which resulted in fourteen of the seventeen total fatalities. Comparing the acceleration response spectra with the design response spectra sheds light on the effects of near-fault ground motions on the collapsed buildings. Based on the eventual forms of collapsed buildings, building collapses that have generally led to major casualties in past seismic events around the world can be classified into sit-down, knee-down and lie-down types. In addition to the four collapsed buildings, seismic reconnaissance on other buildings, bridges, ports, and non-structural components have also been conducted. This study explores the issues and challenges arising from the reconnaissance results and thereby enhances learning from the seismic event.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10518-020-00878-0</doi><tpages>30</tpages><orcidid>https://orcid.org/0000-0002-7351-1624</orcidid></addata></record> |
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subjects | Bridge failure Bridges Building failures Buildings Casualties Civil Engineering Collapse Earth and Environmental Science Earth Sciences Earthquake damage Earthquakes Environmental Engineering/Biotechnology Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Ground motion Hydrogeology Learning Offshore Original Research Reconnaissance Response spectra Seismic activity Spectra Structural Geology |
title | Reconnaissance and learning after the February 6, 2018, earthquake in Hualien, Taiwan |
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