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Basin-induced surface wave parameter identification for enhanced seismic hazard assessment

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Bibliographic Details
Title: Basin-induced surface wave parameter identification for enhanced seismic hazard assessment
Authors: Valeria Soto-Moncada, Fernando Lopez-Caballero
Contributors: Lopez-Caballero, Fernando
Source: Journal of Seismology. 29:385-401
Publisher Information: Springer Science and Business Media LLC, 2025.
Publication Year: 2025
Subject Terms: 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
Description: 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.
Document Type: Article
Language: English
ISSN: 1573-157X
1383-4649
DOI: 10.1007/s10950-025-10287-y
Rights: CC BY
Accession Number: edsair.doi.dedup.....b9d73d1b4536223477c091deb497a4fe
Database: OpenAIRE
Description
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