Nonstationary Shear-Wave Velocity Randomization Approach to Propagate Small-Scale Spatial Shear-Wave Velocity Heterogeneities into Seismic Response

Recent studies in earthquake engineering have outlined the difficulty of ground response analyses (GRAs) to replicate the observed ground motion and related variability at borehole array sites. Improvement of the seismic site response estimation requires accounting for and propagating the uncertainties in local soil conditions into surface ground motion. Uncertainties in site conditions arise from a number of factors, which include the uncertainties in the shear-wave velocity (VS) that are mainly caused by the natural spatial variability of soils and rocks. In this paper, a novel VS randomization approach is proposed to propagate the small-scale spatial VS heterogeneities into samples of VS profiles within a nonstationary probabilistic framework, to be further used in one-dimensional (1D) GRAs. The nonstationary approach is based on partitioning a borehole base-case VS profile into several locally stationary layers. The proposed approach was applied at three European sites exhibiting different subsurface soil conditions. Compared with both the classical stationary and an approach from the literature for VS randomization, the proposed approach provides a set of VS profiles fully consistent with the pseudoexperimental site signatures in terms of surface-wave dispersion curves, fundamental and higher-mode resonance frequencies, and site amplification. This paper also outlines the importance of the method used to measure VS profile in both the estimation of depth-dependent variability of VS at a given site and the prediction of site response variability.

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Publication Details

Journal
Journal of Geotechnical and Geoenvironmental Engineering
Published
2024-08-12
DOI
https://doi.org/10.1061/jggefk.gteng-11884
Citations
2
Primary Topic
Geotechnical Engineering and Underground Structures
Type
article
Field-Weighted Citation Impact
0.52
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article

Nonstationary Shear-Wave Velocity Randomization Approach to Propagate Small-Scale Spatial Shear-Wave Velocity Heterogeneities into Seismic Response

Dalia Youssef Abdel Massih, Cécile Cornou, Tamara Al‐Bittar, Eliane Youssef
2 citations
Journal of Geotechnical and Geoenvironmental Engineering
Geotechnical Engineering and Underground Structures
0.52
article

Nonstationary Shear-Wave Velocity Randomization Approach to Propagate Small-Scale Spatial Shear-Wave Velocity Heterogeneities into Seismic Response

Dalia Youssef Abdel Massih, Cécile Cornou, Tamara Al‐Bittar, Eliane Youssef
article en
2 citations

Abstract

Recent studies in earthquake engineering have outlined the difficulty of ground response analyses (GRAs) to replicate the observed ground motion and related variability at borehole array sites. Improvement of the seismic site response estimation requires accounting for and propagating the uncertainties in local soil conditions into surface ground motion. Uncertainties in site conditions arise from a number of factors, which include the uncertainties in the shear-wave velocity (VS) that are mainly caused by the natural spatial variability of soils and rocks. In this paper, a novel VS randomization approach is proposed to propagate the small-scale spatial VS heterogeneities into samples of VS profiles within a nonstationary probabilistic framework, to be further used in one-dimensional (1D) GRAs. The nonstationary approach is based on partitioning a borehole base-case VS profile into several locally stationary layers. The proposed approach was applied at three European sites exhibiting different subsurface soil conditions. Compared with both the classical stationary and an approach from the literature for VS randomization, the proposed approach provides a set of VS profiles fully consistent with the pseudoexperimental site signatures in terms of surface-wave dispersion curves, fundamental and higher-mode resonance frequencies, and site amplification. This paper also outlines the importance of the method used to measure VS profile in both the estimation of depth-dependent variability of VS at a given site and the prediction of site response variability.

Journal of Geotechnical and Geoenvironmental EngineeringVol. 150(10)
Centre National de la Recherche Scientifique (FR), Lebanese University (LB), University of Tripoli Lebanon (LB), Institut des Sciences de la Terre (FR), Université Gustave Eiffel (FR), Institut de Recherche pour le Développement (FR), Université Grenoble Alpes (FR)
Climate action
Openalex Percentile: Top 37%
Geotechnical Engineering and Underground Structures
0.52
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