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JDR Vol.15 No.1 pp. 9-19
(2020)
doi: 10.20965/jdr.2020.p0009

Paper:

Evaluation of Seismic Vulnerability Indices for Low-Rise Reinforced Concrete Buildings Including Data from the 6 February 2016 Taiwan Earthquake

Santiago Pujol*,†, Lucas Laughery*, Aishwarya Puranam*, Pedram Hesam**, Li-Hui Cheng*, Alana Lund*, and Ayhan Irfanoglu*

*Lyles School of Civil Engineering, Purdue University
550 Stadium Mall Drive, West Lafayette, Indiana 47907, USA

Corresponding author

**Hinman Consulting Engineers, Inc., California, USA

Received:
September 3, 2018
Accepted:
January 9, 2019
Published:
February 1, 2020
Keywords:
reinforced concrete, earthquake, vulnerability, Taiwan
Abstract

Communities need seismic vulnerability indices to identify which buildings are most susceptible to severe damage during earthquakes. To be of greatest value, these indices should be easy to use and should be vetted against data from previous earthquakes. To date, more than 800 reinforced concrete buildings have been surveyed after earthquakes for the purpose of evaluating a seismic vulnerability index proposed by Hassan and Sozen in 1997. This number includes 130 buildings surveyed after the 6 February 2016 earthquake in Taiwan. The data collected during these surveys consist of descriptions and photographs of damage, structural sketches, and measurements. Analyses of the data indicate that probability of severe damage and failure increases with decreasing column index and wall index (normalized measures of column and wall areas). They also suggest that the exact form of the threshold used to distinguish more vulnerable structures from less vulnerable structures is of little consequence in terms of the probable cost and benefits of the strengthening program this threshold may inform.

Cite this article as:
S. Pujol, L. Laughery, A. Puranam, P. Hesam, L. Cheng, A. Lund, and A. Irfanoglu, “Evaluation of Seismic Vulnerability Indices for Low-Rise Reinforced Concrete Buildings Including Data from the 6 February 2016 Taiwan Earthquake,” J. Disaster Res., Vol.15 No.1, pp. 9-19, 2020.
Data files:
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