Simulated Ground Motion Dataset in the Azores Plateau, Portugal, on Rock and Soil Sites

Building on a previously developed bedrock dataset, this study extends the Building on a previously developed bedrock dataset, this study extends the Azores Plateau ground motion simulations to include soil-amplified records and introduces a comprehensive validation framework. Soil amplification is modeled using one-dimensional soil profiles. A stochastic source-based approach is employed to generate the dataset, incorporating randomization of input-model parameters to account for the aleatory uncertainty in seismic activity. The accuracy of the dataset is verified through a comprehensive validation framework, showing that the randomization effectively captures variance and inter-period correlation observed in records. This work provides a robust dataset for advancing seismic hazard and risk assessment in the Azores Plateau.

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Publication Details

Journal
Journal of Earthquake Engineering
Published
2026-02-02
DOI
https://doi.org/10.1080/13632469.2026.2619832
Primary Topic
Seismic Performance and Analysis
Type
article
Field-Weighted Citation Impact
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article

Simulated Ground Motion Dataset in the Azores Plateau, Portugal, on Rock and Soil Sites

Shaghayegh Karımzadeh, Sanaz Rezaeian, Alexandra Carvalho, Paulo B. Lourenço et al.
Journal of Earthquake Engineering
Seismic Performance and Analysis
article

Simulated Ground Motion Dataset in the Azores Plateau, Portugal, on Rock and Soil Sites

Shaghayegh Karımzadeh, Sanaz Rezaeian, Alexandra Carvalho, Paulo B. Lourenço, Daniel Caicedo, S. M. Sajad Hussaini
article en

Abstract

Building on a previously developed bedrock dataset, this study extends the Building on a previously developed bedrock dataset, this study extends the Azores Plateau ground motion simulations to include soil-amplified records and introduces a comprehensive validation framework. Soil amplification is modeled using one-dimensional soil profiles. A stochastic source-based approach is employed to generate the dataset, incorporating randomization of input-model parameters to account for the aleatory uncertainty in seismic activity. The accuracy of the dataset is verified through a comprehensive validation framework, showing that the randomization effectively captures variance and inter-period correlation observed in records. This work provides a robust dataset for advancing seismic hazard and risk assessment in the Azores Plateau.

Journal of Earthquake Engineering
United States Geological Survey (US), Institute for Sustainability (GB), National Laboratory for Civil Engineering (PT)
Openalex Percentile: Top 70%
Seismic Performance and Analysis
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