Optimized parametric inference for the inner loop of the Multigrid Ensemble Kalman Filter

Moldovan, Gabriel; Lehnasch, Guillaume; Cordier, Laurent; Meldi, Marcello

doi:10.1016/j.jcp.2022.111621

Journal of Computational Physics

2022

DOI: 10.1016/j.jcp.2022.111621

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Optimized parametric inference for the inner loop of the Multigrid Ensemble Kalman Filter

Gabriel Moldovan

Guillaume Lehnasch

Laurent Cordier

et al.

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Cited by 4 publications

References 46 publications

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Statistical Inference of Upstream Turbulence Intensity for the Flow Around a Bluff Body with Massive Separation

Moussie,

Errante,

Meldi

2024

Flow Turbulence Combust

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The Benchmarck on the Aerodynamics of a Rectangular 5:1 Cylinder is studied using a data-driven technique which bridges numerical simulation and available experimental results. Because of intrinsic features of the tools used for investigation, in particular in terms of set-up and boundary conditions, significant discrepancies have been observed in the literature when comparing experimental and numerical results. An approach based on the Ensemble Kalman Filter is here used to optimize a synthetic turbulent inlet used as boundary condition in the numerical calculation, in order to reduce the discrepancy with the available experiments. The data-driven method successfully optimizes the boundary condition features, which produce a significant improvement of the accuracy in the prediction of the flow. These findings open perspectives of application towards the analysis of realistic cases, where boundary conditions are complex and usually unknown.

show abstract

Statistical Inference of Upstream Turbulence Intensity for the Flow Around a Bluff Body with Massive Separation

Moussie,

Errante,

Meldi

2024

Flow Turbulence Combust

View full text Add to dashboard Cite

show abstract

A novel estimation method for microstructural evolution based on data assimilation and phase field crystal model

Xie,

2023

Communications in Nonlinear Science and Numerical Simulation

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Multigrid sequential data assimilation for the Large Eddy Simulation of a massively separated bluff-body flow

Moldovan,

Mariotti,

Cordier

et al. 2024

Computers & Fluids

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Optimized parametric inference for the inner loop of the Multigrid Ensemble Kalman Filter

Cited by 4 publications

References 46 publications

Statistical Inference of Upstream Turbulence Intensity for the Flow Around a Bluff Body with Massive Separation

Statistical Inference of Upstream Turbulence Intensity for the Flow Around a Bluff Body with Massive Separation

A novel estimation method for microstructural evolution based on data assimilation and phase field crystal model

Multigrid sequential data assimilation for the Large Eddy Simulation of a massively separated bluff-body flow

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