Reconnaissance and learning after the February 6, 2018, earthquake in Hualien, Taiwan
Autor: | Yu Wen Chang, Lap Loi Chung, Shu Hsien Chao, Cho Yen Yang, Shang Yi Hsu, Hsiao Hui Hung, Hwang Shyh-Jiann, Chung Han Yu, Chin Kuo Su, Wen Cheng Shen, Chun Hsiang Kuo, Yi An Li, Jui-Liang Lin, Fan Ru Lin, Chun Chung Chen, Chih Chieh Lu |
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Rok vydání: | 2020 |
Předmět: |
021110 strategic
defence & security studies geography geography.geographical_feature_category 0211 other engineering and technologies 02 engineering and technology Building and Construction Fault (geology) Geotechnical Engineering and Engineering Geology Building collapse law.invention Richter magnitude scale Geophysics law Epicenter Seismic damage Submarine pipeline Structural geology Geology Seismology Civil and Structural Engineering |
Zdroj: | Bulletin of Earthquake Engineering. 18:4725-4754 |
ISSN: | 1573-1456 1570-761X |
Popis: | 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. |
Databáze: | OpenAIRE |
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