Citation

Choi I, Kim JH, Kang WH, Kim Y. J. Earthq. Eng. 2022; 26(16): 8205-8228.

Copyright

(Copyright © 2022, Informa - Taylor and Francis Group)

DOI

10.1080/13632469.2021.1987356

PMID

unavailable

Abstract

In low-to-moderate seismicity regions, seismic loss functions (SLFs) are barely established due to limited observational data, making it difficult to derive decision-making on disaster prevention and management. Herein, a Bayesian framework is developed to update the SLFs with limited observational data. The proposed point-based Bayesian method updates local probability density function parameters for damage ratios at each seismic intensity, which helps to avoid an unrealistic underestimation of damage ratios in the low-to-moderate range of seismic intensities. The feasibility of the developed framework in a low-to-moderate seismicity region is verified by the comparison between the updated SLF and post-event data.

Language: en

Keywords

Bayesian updating; damage ratio; limited observational data; RC school buildings; seismic loss function