The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/be5c168c-2d7a-47b4-bf0c-82f40a27be06

Ji, Xin-Lin; Zhu, Li; Wei, Ying; Li, Jia-Huan; Kai-Leung Su, Ray (2023): Data underlying the study of an integrated hierarchical interpolation framework for generating regional structural seismic responses. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/be5c168c-2d7a-47b4-bf0c-82f40a27be06.v1

Dataset

• Civil Engineering
• Engineering

deconvolution seismic interferometry, Gaussian process regression, hierarchical interpolation, machine learning, structural seismic response

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Xin-Lin Ji, Li Zhu, Ying Wei, Jia-Huan Li, Ray Kai-Leung Su

This study has designed a framework for calculating structural seismic responses inside a non-instrumented building, based on dual-level hierarchical interpolation. The propagation of earthquake waves from an observation station to a target building is divided into two steps: propagation underground and inside the building. Gaussian process regression (GPR) and deconvolution seismic interferometry (DSI) are adopted, respectively, within these two steps to interpolate seismic responses in succession. This dataset contains main Python scripts for implementing the abovementioned steps. Some data collected from K-NET, KiK-net, and CESMD are provided for the purpose of testing.

• 2023-11-29 first online, published, posted

4TU.ResearchData

*.py, *.xls, *.txt, *.rpt, *.inp

The University of Hong Kong, Department of Civil Engineering