Influential parameters on 3-D synthetic ground motions in a sedimentary basin derived from global sensitivity analysis

Autor: F. De Martin, Bilel Hadri, Emeline Maufroy, Abed Benaichouche, Emmanuel Chaljub, Fabrice Dupros, Philippe Thierry, Pierre Sochala, Fabrice Hollender

Publikováno v: Geophysical Journal International
Geophysical Journal International, 2021, 227 (3), pp.1795-1817. ⟨10.1093/gji/ggab304⟩

SUMMARYWhich 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 (PG

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::193a7458caa90e019fad9fc0708a9e7c
https://doi.org/10.1093/gji/ggab304

Polynomial surrogates for Bayesian traveltime tomography

Autor: Pierre Sochala, Olivier Le Maitre, Alexandrine Gesret

Publikováno v: GEM-International Journal on Geomathematics
GEM-International Journal on Geomathematics, Springer, 2021, 12 (1), ⟨10.1007/s13137-021-00184-0⟩
GEM-International Journal on Geomathematics, 2021, 12 (1), ⟨10.1007/s13137-021-00184-0⟩

International audience; This paper tackles the issue of the computational load encountered in seismic imaging by Bayesian traveltime inversion. In Bayesian inference, the exploration of the posterior distribution of the velocity model parameters requ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a75200ba321423ca245523526b1d240
https://hal.archives-ouvertes.fr/hal-03384145/document

On the Construction of Uncertain Time Series Surrogates Using Polynomial Chaos and Gaussian Processes

Autor: Pierre Sochala, Mohamed Iskandarani

Publikováno v: Mathematical Geosciences
Mathematical Geosciences, Springer Verlag, 2020, 52 (2), pp.285-309. ⟨10.1007/s11004-019-09806-8⟩

The analysis of time series is a fundamental task in many flow simulations such as oceanic and atmospheric flows. A major challenge is the design of a faithful and accurate time-dependent surrogate built with a tractable sample set and a manageable n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f971a8ef0ce3409c74c727688526230c
https://hal-brgm.archives-ouvertes.fr/hal-02859882

Model Reduction for Large-Scale Earthquake Simulation in an Uncertain 3D Medium

Autor: F. De Martin, O. P. Le Maître, Pierre Sochala

Publikováno v: International Journal for Uncertainty Quantification
International Journal for Uncertainty Quantification, Begell House Publishers, 2020, 10 (2), pp.101-127. ⟨10.1615/Int.J.UncertaintyQuantification.2020031165⟩
International Journal for Uncertainty Quantification, 2020, 10 (2), pp.101-127. ⟨10.1615/Int.J.UncertaintyQuantification.2020031165⟩

International audience; In this paper, we are interested in the seismic wave propagation into an uncertain medium. To this end, we performed an ensemble of 400 large-scale simulations that requires 4 million core-hours of CPU time. In addition to the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f100f231bc3a6fe72a0d9bea4bda757b
https://hal.archives-ouvertes.fr/hal-02570132/document

Numerical approximation of poroelasticity with random coefficients using Polynomial Chaos and Hybrid High-Order methods

Autor: Daniele Antonio Di Pietro, Olivier Le Maitre, Michele Botti, Pierre Sochala

Publikováno v: Computer Methods in Applied Mechanics and Engineering
Computer Methods in Applied Mechanics and Engineering, Elsevier, 2020, 361, pp.112736. ⟨10.1016/j.cma.2019.112736⟩

In this work, we consider the Biot problem with uncertain poroelastic coefficients. The uncertainty is modelled using a finite set of parameters with prescribed probability distribution. We present the variational formulation of the stochastic partia

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e571f73d3a44cfe8ea02aa1497e904b9
http://arxiv.org/abs/1903.11885