Implicit subgrid modelling of incompressible flow and heat transfer using the discontinuity capturing Petrov-Galerkin/pressure stabilising Taylor-Galerkin (DCPG/PSTG) method

• Derivation of the Pressure Stabilising/Taylor-Galerkin (PSTG) method for circumventing the restrictions on the choice of interpolation spaces for velocity and pressure. • Introduction of the Discontinuity Capturing/Petrov-Galerkin (DCPG) method for implicit subgrid modelling of incompressible flow and heat transfer. • Definition and use of appropriate local time-steps as stabilisation parameters. • Numerical examples including free, mixed, and forced convection and Large Eddy Simulations (LES) of turbulent flows in 2D Cartesian and Axisymmetric problems. A new stabilised finite element method for the simulation of incompressible flow and heat transfer is presented. A velocity Taylor series in time is combined with the momenta balances and a Galerkin approximation of the mass conservation to derive an equation to compute pressure. The Pressure Stabilising Taylor-Galerkin (PSTG) method circumvents the Babuška-Brezzi restrictions on the interpolation spaces for velocity and pressure. To deal with strong convective flows, the Discontinuity Capturing Petrov-Galerkin (DCPG) method is introduced. It relies on the effective transport velocity, i.e., the projection of the flow velocity on the direction of the gradient of the quantity transported, introducing implicit subgrid modelling for Large Eddy Simulations (LES). Numerical examples, for both laminar and turbulent flows, demonstrate the good performance of the DCPG/PSTG method.

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Publication Details

Journal
Computer Methods in Applied Mechanics and Engineering
Published
2026-02-23
DOI
https://doi.org/10.1016/j.cma.2026.118858
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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article

Implicit subgrid modelling of incompressible flow and heat transfer using the discontinuity capturing Petrov-Galerkin/pressure stabilising Taylor-Galerkin (DCPG/PSTG) method

Paulo Augusto Berquó de Sampaio, Thiago Figueiral Ribeiro Dias da Rosa
Computer Methods in Applied Mechanics and Engineering
Advanced Numerical Methods in Computational Mathematics
article

Implicit subgrid modelling of incompressible flow and heat transfer using the discontinuity capturing Petrov-Galerkin/pressure stabilising Taylor-Galerkin (DCPG/PSTG) method

Paulo Augusto Berquó de Sampaio, Thiago Figueiral Ribeiro Dias da Rosa
article en

Abstract

• Derivation of the Pressure Stabilising/Taylor-Galerkin (PSTG) method for circumventing the restrictions on the choice of interpolation spaces for velocity and pressure. • Introduction of the Discontinuity Capturing/Petrov-Galerkin (DCPG) method for implicit subgrid modelling of incompressible flow and heat transfer. • Definition and use of appropriate local time-steps as stabilisation parameters. • Numerical examples including free, mixed, and forced convection and Large Eddy Simulations (LES) of turbulent flows in 2D Cartesian and Axisymmetric problems. A new stabilised finite element method for the simulation of incompressible flow and heat transfer is presented. A velocity Taylor series in time is combined with the momenta balances and a Galerkin approximation of the mass conservation to derive an equation to compute pressure. The Pressure Stabilising Taylor-Galerkin (PSTG) method circumvents the Babuška-Brezzi restrictions on the interpolation spaces for velocity and pressure. To deal with strong convective flows, the Discontinuity Capturing Petrov-Galerkin (DCPG) method is introduced. It relies on the effective transport velocity, i.e., the projection of the flow velocity on the direction of the gradient of the quantity transported, introducing implicit subgrid modelling for Large Eddy Simulations (LES). Numerical examples, for both laminar and turbulent flows, demonstrate the good performance of the DCPG/PSTG method.

Computer Methods in Applied Mechanics and EngineeringVol. 454
Nuclear Engineering Institute (BR)
Openalex Percentile: Top 43%
Advanced Numerical Methods in Computational Mathematics
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