@article{ref1,
title="Bayesian framework for updating seismic loss functions with limited observational data in low-to-moderate seismicity regions",
journal="Journal of earthquake engineering",
year="2022",
author="Choi, Insub and Kim, JunHee and Kang, WonHee and Kim, Youngsuk",
volume="26",
number="16",
pages="8205-8228",
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.<p /> <p>Language: en</p>",
language="en",
issn="1363-2469",
doi="10.1080/13632469.2021.1987356",
url="http://dx.doi.org/10.1080/13632469.2021.1987356"
}