Efficient Seismic Fragility Assessment Through Active Learning and Gaussian Process Regression
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61527-6_1
Reference27 articles.
1. Cornell CA, Krawinkler H (2000) Progress and challenges in seismic performance assessment. PEER Cent News 3:415
2. Baker JW (2015) Efficient analytical fragility function fitting using dynamic structural analysis. Earthq Spectra 31:579–599. https://doi.org/10.1193/021113EQS025M
3. Atkinson GM (2000) Stochastic modeling of california ground motions. Bull Seismol Soc Am 90:255–274. https://doi.org/10.1785/0119990064
4. Amiri GG, Rad AA, Hazaveh NK (2014) Wavelet-based method for generating nonstationary artificial pulse-like near-fault ground motions. Comput Civ Infrastruct Eng 29:758–770. https://doi.org/10.1111/mice.12110
5. Yamamoto Y, Baker JW (2013) Stochastic model for earthquake ground motion using wavelet packets. Bull Seismol Soc Am 103:3044–3056. https://doi.org/10.1785/0120120312
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