activity
20182023
most citedError analysis of a residual-based stabilization-motivated POD-ROM for incompressible flows

15 citations · 24 across the 7 of their papers we have counts for

collaborators

7 papers

physics.flu-dyn2023

Solving flows in porous media with a POD-Galerkin reduced order model coupled with multilayer perceptron

Cyrille Allery, Claudine Beghein, Claire Dubot +1

This paper deals with the numerical modeling of flow around and through a porous obstacle by a reduced order model (ROM) obtained by Galerkin projection of the Navier-Stokes equati…

math.NA2022★ 15 cited

Error analysis of a residual-based stabilization-motivated POD-ROM for incompressible flows

Tomás Chacón Rebollo, Samuele Rubino, Mourad Oulghelou +1

This article presents error bounds for a velocity-pressure segregated POD reduced order model discretization of the Navier-Stokes equations. The stability is proven in L infinity (…

cs.CE2022★ 1 cited

Assessing the wall energy efficiency design under climate change using POD reduced order model

Julien Berger, Cyrille Allery, Anaïs Machard

Within the environmental context, numerical modeling is a promising approach to assessing the energy efficiency of buildings. Resilient buildings need to be designed, and capable o…

math.NA2020★ 1 cited

A Riemannian Barycentric Interpolation : Derivation of the Parametric Unsteady Navier-Stokes Reduced Order Model

M. Oulghelou, C. Allery

A new application of subspaces interpolation for the construction of nonlinear Parametric Reduced Order Models (PROMs) is proposed. This approach is based upon the Riemannian geome…

cs.CE2020

Data-Driven Optimization Approach for Inverse Problems : Application to Turbulent Mixed-Convection Flows

M. Oulghelou, C. Beghein, C. Allery

Optimal control of turbulent mixed-convection flows has attracted considerable attention from researchers. Numerical algorithms such as Genetic Algorithms (GAs) are powerful tools…

math.OC2019★ 2 cited

Hyper bi-calibrated interpolation on the Grassmann manifold for near real time flow control using genetic algorithm

M. Oulghelou, C. Allery

Most genetic algorithms (GAs) used in literature to solve control problems are time consuming and involve important storage memory requirements. In fact, the search in GAs is itera…