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- Publisher Website: 10.1080/13632469.2024.2427691
- Scopus: eid_2-s2.0-85209664683
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Article: An Integrated Hierarchical Interpolation Framework for Generating Regional Structural Seismic Responses
Title | An Integrated Hierarchical Interpolation Framework for Generating Regional Structural Seismic Responses |
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Authors | |
Keywords | deconvolution seismic interferometry Gaussian process regression hierarchical interpolation machine learning Structural seismic response |
Issue Date | 1-Jan-2025 |
Publisher | Taylor and Francis Group |
Citation | Journal of Earthquake Engineering, 2025, v. 29, n. 2, p. 421-444 How to Cite? |
Abstract | 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. The proposed framework is verified through a numerical study and a case study. Results in both cases reveal the performance of this framework to be satisfactory. |
Persistent Identifier | http://hdl.handle.net/10722/355142 |
ISSN | 2023 Impact Factor: 2.5 2023 SCImago Journal Rankings: 0.781 |
DC Field | Value | Language |
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dc.contributor.author | Ji, Xin Lin | - |
dc.contributor.author | Zhu, Li | - |
dc.contributor.author | Wei, Ying | - |
dc.contributor.author | Li, Jia Huan | - |
dc.contributor.author | Su, Ray Kai Leung | - |
dc.date.accessioned | 2025-03-28T00:35:25Z | - |
dc.date.available | 2025-03-28T00:35:25Z | - |
dc.date.issued | 2025-01-01 | - |
dc.identifier.citation | Journal of Earthquake Engineering, 2025, v. 29, n. 2, p. 421-444 | - |
dc.identifier.issn | 1363-2469 | - |
dc.identifier.uri | http://hdl.handle.net/10722/355142 | - |
dc.description.abstract | <p>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. The proposed framework is verified through a numerical study and a case study. Results in both cases reveal the performance of this framework to be satisfactory.</p> | - |
dc.language | eng | - |
dc.publisher | Taylor and Francis Group | - |
dc.relation.ispartof | Journal of Earthquake Engineering | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | deconvolution seismic interferometry | - |
dc.subject | Gaussian process regression | - |
dc.subject | hierarchical interpolation | - |
dc.subject | machine learning | - |
dc.subject | Structural seismic response | - |
dc.title | An Integrated Hierarchical Interpolation Framework for Generating Regional Structural Seismic Responses | - |
dc.type | Article | - |
dc.identifier.doi | 10.1080/13632469.2024.2427691 | - |
dc.identifier.scopus | eid_2-s2.0-85209664683 | - |
dc.identifier.volume | 29 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 421 | - |
dc.identifier.epage | 444 | - |
dc.identifier.eissn | 1559-808X | - |
dc.identifier.issnl | 1363-2469 | - |