activity
20172020
most citedThe analogue of grad-div stabilization in DG methods for incompressible flows: Limiting behavior and extension to tensor-product meshes

22 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2020★ 1 cited

Continuous Data Assimilation for the Double-Diffusive Natural Convection

Mine Akbas, Aytekin Cibik

In this study, we analyzed a continuous data assimilation scheme applied on a double-diffusive natural convection model. The algorithm is introduced with a first order backward Eul…

math.NA2020

Improving accuracy in the Leray model for incompressible non-isothermal flows via adaptive deconvolution-based nonlinear filtering

Mine Akbas, Abigail Bowers

This paper considers a Leray regularization model of incompressible, non-isothermal fluid flows which uses nonlinear filtering based on indicator functions, and introduces an effic…

math.NA2020

Modular grad-div stabilization for the incompressible non-isothermal fluid flows

Mine Akbas, Leo G. Rebholz

This paper considers a modular grad-div stabilization method for approximating solutions of the time-dependent Boussinesq model of non-isothermal flows. The proposed method adds a…

math.NA2019★ 8 cited

A gradient-robust well-balanced scheme for the compressible isothermal Stokes problem

Mine Akbas, Thierry Gallouet, Almut Gassmann +2

A novel notion for constructing a well-balanced scheme - a gradient-robust scheme - is introduced and a showcase application for a steady compressible, isothermal Stokes equations…

math.NA2017★ 22 cited

The analogue of grad-div stabilization in DG methods for incompressible flows: Limiting behavior and extension to tensor-product meshes

Mine Akbas, Alexander Linke, Leo G. Rebholz +1

Grad-div stabilization is a classical remedy in conforming mixed finite element methods for incompressible flow problems, for mitigating velocity errors that are sometimes called p…