Basin-induced surface wave parameter identification for enhanced seismic hazard assessment
Gespeichert in:
| Titel: | Basin-induced surface wave parameter identification for enhanced seismic hazard assessment |
|---|---|
| Autoren: | Valeria Soto-Moncada, Fernando Lopez-Caballero |
| Weitere Verfasser: | Lopez-Caballero, Fernando |
| Quelle: | Journal of Seismology. 29:385-401 |
| Verlagsinformationen: | Springer Science and Business Media LLC, 2025. |
| Publikationsjahr: | 2025 |
| Schlagwörter: | Six Degrees-of-Freedom Polarization Analysis, [SPI.GCIV.GEOTECH] Engineering Sciences [physics]/Civil Engineering/Géotechnique, Multiple Signal Classification, Surface wave analysis, Seismic hazard assessment, Normalized Inner Product |
| Beschreibung: | In earthquake engineering, the precise characterization of long-period ground motion in the form of surface waves (Love and Rayleigh type) is crucial for designing resilient structures, particularly in complex environments such as sedimentary basins. This study evaluates the efficacy of the Normalized Inner Product (NIP) method for estimating surface wave parameters using limited input data within seismic analyses conducted based on numerical simulations. The method is benchmarked against two established techniques–Six Degrees-of-Freedom Polarization Analysis (6C-Pol) and Multiple Signal Classification (MUSIC)–to evaluate its precision in parameter identification. As an example, the methodologies are first applied to analyze surface waves from synthetically generated signals and then from basin-induced surface waves coming from a simplified basin with known characteristics, employing the the spectral element code SEM3D for 3D wave propagation simulation. The results revealed that the NIP method efficiently estimated surface wave characteristics using minimal information, demonstrating its efficiency. Furthermore, due to its capacity to rapidly process large datasets, the NIP method effectively quantified basin-induced surface waves across the basin surface, offering a robust framework for a more comprehensive understanding of 3D basin effects. |
| Publikationsart: | Article |
| Sprache: | English |
| ISSN: | 1573-157X 1383-4649 |
| DOI: | 10.1007/s10950-025-10287-y |
| Rights: | CC BY |
| Dokumentencode: | edsair.doi.dedup.....b9d73d1b4536223477c091deb497a4fe |
| Datenbank: | OpenAIRE |
Full Text Finder 
Nájsť tento článok vo Web of Science | Abstract: | In earthquake engineering, the precise characterization of long-period ground motion in the form of surface waves (Love and Rayleigh type) is crucial for designing resilient structures, particularly in complex environments such as sedimentary basins. This study evaluates the efficacy of the Normalized Inner Product (NIP) method for estimating surface wave parameters using limited input data within seismic analyses conducted based on numerical simulations. The method is benchmarked against two established techniques–Six Degrees-of-Freedom Polarization Analysis (6C-Pol) and Multiple Signal Classification (MUSIC)–to evaluate its precision in parameter identification. As an example, the methodologies are first applied to analyze surface waves from synthetically generated signals and then from basin-induced surface waves coming from a simplified basin with known characteristics, employing the the spectral element code SEM3D for 3D wave propagation simulation. The results revealed that the NIP method efficiently estimated surface wave characteristics using minimal information, demonstrating its efficiency. Furthermore, due to its capacity to rapidly process large datasets, the NIP method effectively quantified basin-induced surface waves across the basin surface, offering a robust framework for a more comprehensive understanding of 3D basin effects. |
|---|---|
| ISSN: | 1573157X 13834649 |
| DOI: | 10.1007/s10950-025-10287-y |