https://scholars.lib.ntu.edu.tw/handle/123456789/576080
標題: | Comparison of seismic vulnerable indices by building data of the 2016 Taiwan earthquake | 作者: | Chiou T.C Hwang S.J Pujol S. SHYH-JIANN HWANG |
關鍵字: | Concrete buildings; Engineering geology; Floors; Reinforced concrete; Seismic design; Surveys; Walls (structural partitions); Damage classification; Design specification; Empirical calibration; Evaluation methods; Existing reinforced concrete; Low-rise RC buildings; Peak ground acceleration; Seismic vulnerability; Earthquakes | 公開日期: | 2018 | 卷: | 2 | 起(迄)頁: | 1171-1180 | 來源出版物: | 11th National Conference on Earthquake Engineering 2018, NCEE 2018: Integrating Science, Engineering, and Policy | 摘要: | Hassan and Sozen [1] proposed seismic-vulnerability indices (column index CI and wall index WI), to represent the seismic vulnerability of existing reinforced concrete buildings. A threshold separating the most critical buildings from the rest was defined using field data collected after earthquakes in Turkey, Pern, Haiti, China, and Nepal. In Taiwan, National Center for Research on Earthquake Engineering (NC'REE) [2] proposed another index for preliminary seismic evaluation of low-rise RC buildings (Is) based on an estimate of the seismic capacity-to-demand ratio. Seismic capacity is assumed proportional to the building column-to-floor and wall-to floor area ratios on the basis of data from school buildings surveyed in Taiwan. Seismic demand is defined as the equivalent peak ground acceleration (EPA) of design-basis earthquake obtained from Taiwanese seismic design specifications. Following the 2016 Meinong Earthquake in Taiwan, a reconnaissance team of researchers from Purdue University and NC'REE surveyed 113 buildings in Tainan City. Data collected include structural plans and dimensions of elements, location and level of damage in elements, and architectural plans. This dataset was used to compare these two rapid-evaluation methods. Each method was independently developed by empirical calibration. Nevertheless, the comparison indicated that both methods correlate well with observed damage classifications and produce similar results. ? Copyright (2018 by Earthquake Engineering Research Institute All rights reserved. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085583815&partnerID=40&md5=7cede2429dfed1280f2736454719a34b https://scholars.lib.ntu.edu.tw/handle/123456789/576080 |
顯示於: | 土木工程學系 |
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