https://scholars.lib.ntu.edu.tw/handle/123456789/576075
標題: | Reconnaissance and learning after the February 6, 2018, earthquake in Hualien, Taiwan | 作者: | Lin J.-L SHYH-JIANN HWANG |
關鍵字: | Buildings; Faulting; Offshore oil well production; Seismic response; Structural analysis; Acceleration response; Building collapse; Collapsed buildings; Design response spectrum; Issues and challenges; Near fault ground motion; Non-structural components; Seismic intensity; Earthquakes; brittle failure; building; classification; collapse structure; earthquake damage; earthquake epicenter; earthquake event; ground motion; seismic data; seismic hazard; Hualien; Taiwan | 公開日期: | 2020 | 卷: | 18 | 期: | 10 | 起(迄)頁: | 4725-4754 | 來源出版物: | Bulletin of Earthquake Engineering | 摘要: | An earthquake with an epicenter offshore of Hualien City in eastern Taiwan occurred at midnight on February 6, 2018. The Richter magnitude (ML) 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. ? 2020, Springer Nature B.V. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085899426&doi=10.1007%2fs10518-020-00878-0&partnerID=40&md5=3dc0d00e029c62883db680b355f1e595 https://scholars.lib.ntu.edu.tw/handle/123456789/576075 |
ISSN: | 1570761X | DOI: | 10.1007/s10518-020-00878-0 |
顯示於: | 土木工程學系 |
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