Application of non-stationary shear-wave velocity randomization approach to predict 1D seismic site response and its variability at two downhole array recordings

Accounting for uncertainties in seismic site response is crucial to improving the performance of one-dimensional (1D) ground response analyses (GRAs) at downhole array recording sites. In addition to site effects, uncertainties in 1D-GRAs can also be contributed from the seismic source and/or path. Though often representing not more than one percent of the distance (path) from the source, site conditions are known to have an enormous influence on ground shaking. In this study, we focus on the site shear-wave velocity ( V S ) structure, which is the main ingredient for estimating the variability of site response. As such, V S can manifest aleatory uncertainties related to the effects of small-scale spatial heterogeneities within the near surface, thus V S can substantially modify ground shaking during earthquakes. We apply a novel V S randomization approach to propagate the small-scale heterogeneities of V S to estimate seismic site response within a non-stationary probabilistic framework. The randomization approach generates samples of V S profiles that are used to perform several 1D-GRAs and obtain an averaged site response and related variability. The proposed method is implemented on data recorded at two downhole array sites with different subsurface soil conditions: a soft soil site on Treasure Island (California, United States of America) and a rock outcrop site in Cadarache (South-East France). We show that synthetic surface-to-borehole transfer functions from 1D-GRAs provide an acceptable fit to the empirical transfer functions from low-motion earthquake records and succeed in reproducing most of the site-specific seismic response variability. The remaining mismatch between transfer functions is likely due to insufficient precision on the seismic bedrock and the impedance contrast. The variability in site response is discussed with emphasis on the role of V S small-scale heterogeneities, attenuation, and input motion incidence angle in ground motion variability for the site and soil conditions at both locations. • We propose a shear-wave velocity randomization approach to propagate vertical soil heterogeneities in seismic response. • We apply the method at two downhole array sites with different subsurface conditions. • We evaluate the role of soil heterogeneity, attenuation, and input motion in site response variability.

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Publication Details

Journal
Soil Dynamics and Earthquake Engineering
Published
2024-09-01
DOI
https://doi.org/10.1016/j.soildyn.2024.108945
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Application of non-stationary shear-wave velocity randomization approach to predict 1D seismic site response and its variability at two downhole array recordings

Alan Yong, Dalia Youssef Abdel Massih, Cécile Cornou, Tamara Al‐Bittar et al.
Soil Dynamics and Earthquake Engineering
Seismic Imaging and Inversion Techniques
article

Application of non-stationary shear-wave velocity randomization approach to predict 1D seismic site response and its variability at two downhole array recordings

Alan Yong, Dalia Youssef Abdel Massih, Cécile Cornou, Tamara Al‐Bittar, Fabrice Hollender, Eliane Youssef
article en

Abstract

Accounting for uncertainties in seismic site response is crucial to improving the performance of one-dimensional (1D) ground response analyses (GRAs) at downhole array recording sites. In addition to site effects, uncertainties in 1D-GRAs can also be contributed from the seismic source and/or path. Though often representing not more than one percent of the distance (path) from the source, site conditions are known to have an enormous influence on ground shaking. In this study, we focus on the site shear-wave velocity ( V S ) structure, which is the main ingredient for estimating the variability of site response. As such, V S can manifest aleatory uncertainties related to the effects of small-scale spatial heterogeneities within the near surface, thus V S can substantially modify ground shaking during earthquakes. We apply a novel V S randomization approach to propagate the small-scale heterogeneities of V S to estimate seismic site response within a non-stationary probabilistic framework. The randomization approach generates samples of V S profiles that are used to perform several 1D-GRAs and obtain an averaged site response and related variability. The proposed method is implemented on data recorded at two downhole array sites with different subsurface soil conditions: a soft soil site on Treasure Island (California, United States of America) and a rock outcrop site in Cadarache (South-East France). We show that synthetic surface-to-borehole transfer functions from 1D-GRAs provide an acceptable fit to the empirical transfer functions from low-motion earthquake records and succeed in reproducing most of the site-specific seismic response variability. The remaining mismatch between transfer functions is likely due to insufficient precision on the seismic bedrock and the impedance contrast. The variability in site response is discussed with emphasis on the role of V S small-scale heterogeneities, attenuation, and input motion incidence angle in ground motion variability for the site and soil conditions at both locations. • We propose a shear-wave velocity randomization approach to propagate vertical soil heterogeneities in seismic response. • We apply the method at two downhole array sites with different subsurface conditions. • We evaluate the role of soil heterogeneity, attenuation, and input motion in site response variability.

Soil Dynamics and Earthquake EngineeringVol. 186
United States Geological Survey (US), Centre National de la Recherche Scientifique (FR), Lebanese University (LB), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), CEA Cadarache (FR), Institut des Sciences de la Terre (FR), Université Gustave Eiffel (FR), Institut de Recherche pour le Développement (FR), Université Savoie Mont Blanc (FR), Université Grenoble Alpes (FR)
Institut de Recherche pour le Développement, Université Grenoble Alpes, Université Libanaise, Ministère de la Transition écologique et Solidaire
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Seismic Imaging and Inversion Techniques
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