Ground motion model for Turkey
Acknowlegement:
This work has received funding from multiple sources. The national funds from FCT/MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Structural Engineering (ISISE), reference UIDB/04029/2020, and the Associate Laboratory Advanced Production and Intelligent Systems ARISE, reference LA/P/0112/2020, provided partial financial support for this study. Additionally, the research was partly funded by the STAND4HERITAGE project, which received financial support from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program, Grant agreement No. 833123, as an Advanced Grant. The first author also acknowledges the support of national funds through FCT, under grant agreement 2020.08876.BD.
Reference:
If you are going to use the code presented herein for any official study, please refer to:
"Mohammadi, A., Karimzadeh, S., Banimahd, S.A., Ozsarac, V. and Lourenço, P.B., 2023. The potential of region-specific machine-learning-based ground motion models: Application to Turkey. Soil Dynamics and Earthquake Engineering, 172, p.108008."
https://www.sciencedirect.com/science/article/pii/S0267726123002531