2021
DOI: 10.1093/gji/ggab304
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Influential parameters on 3-D synthetic ground motions in a sedimentary basin derived from global sensitivity analysis

Abstract: Summary Which physical parameters are the most influential when predicting earthquake ground motions in a 3-D sedimentary basin? We answer quantitatively by doing a global sensitivity analysis of two quantities of interest: the peak ground motions (PGMs) and a time-frequency representation (the S transform) of ground motions resulting from the synthetic anelastic responses of the EUROSEISTEST. This domain of interest is modeled by two layers with uncertain depth-dependent mechanical properties a… Show more

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Cited by 10 publications
(1 citation statement)
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“…Due to this, the assessment of the seismic responses of critical structures and infrastructures during extreme earthquake events is evidently a difficult and delicate task to accomplish. Needless to say, the lack of direct and detailed information on the parameters at stake (including fault geometry, tectonic stress [3], slip patch [4], rupture path [5], geological configuration [6][7][8], multi-scale heterogeneities and anisotropies [9][10][11], non-linear site effects [12,13], the impact of surface topography [14], soil-structure interaction-SSI [15][16][17], etc.) increases the uncertainty of earthquake predictions with an unknown multivariate distribution of the seismic responses.…”
Section: Introductionmentioning
confidence: 99%
“…Due to this, the assessment of the seismic responses of critical structures and infrastructures during extreme earthquake events is evidently a difficult and delicate task to accomplish. Needless to say, the lack of direct and detailed information on the parameters at stake (including fault geometry, tectonic stress [3], slip patch [4], rupture path [5], geological configuration [6][7][8], multi-scale heterogeneities and anisotropies [9][10][11], non-linear site effects [12,13], the impact of surface topography [14], soil-structure interaction-SSI [15][16][17], etc.) increases the uncertainty of earthquake predictions with an unknown multivariate distribution of the seismic responses.…”
Section: Introductionmentioning
confidence: 99%