FEATFLOW

The program package FEATFLOW is both a user oriented as well as a general purpose subroutine system for the numerical solution of the incompressible Navier-Stokes equations in two and three space dimensions. FEATFLOW is part of the TUFES project (’The Ultimate Finite Element Software’) that aims to develop software which realizes our new mathematical and algorithmical ideas in combination with high performance computational techniques. FEATFLOW is designed for the following three classes of applications: Education of students, scientific research and industrial application


References in zbMATH (referenced in 176 articles )

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  1. Charnyi, Sergey; Heister, Timo; Olshanskii, Maxim A.; Rebholz, Leo G.: Efficient discretizations for the EMAC formulation of the incompressible Navier-Stokes equations (2019)
  2. Dal Santo, Niccolò; Manzoni, Andrea: Hyper-reduced order models for parametrized unsteady Navier-Stokes equations on domains with variable shape (2019)
  3. Deparis, Simone; Deville, Michel O.; Menghini, Filippo; Pegolotti, Luca; Quarteroni, Alfio: Application of the rosenbrock methods to the solution of unsteady 3D incompressible Navier-Stokes equations (2019)
  4. Farrell, Patrick E.; Mitchell, Lawrence; Wechsung, Florian: An augmented Lagrangian preconditioner for the 3D stationary incompressible Navier-Stokes equations at High Reynolds number (2019)
  5. Lederer, Philip L.; Lehrenfeld, Christoph; Schöberl, Joachim: Hybrid discontinuous Galerkin methods with relaxed (2019)
  6. Portelenelle, B.; Botella, O.; Cheny, Y.: Accurate discretization of diffusion in the LS-STAG cut-cell method using diamond cell techniques (2019)
  7. Aoussou, Jean; Lin, Jing; Lermusiaux, Pierre F. J.: Iterated pressure-correction projection methods for the unsteady incompressible Navier-Stokes equations (2018)
  8. Araya, Rodolfo; Rebolledo, Ramiro: An a posteriori error estimator for a LPS method for Navier-Stokes equations (2018)
  9. Aulisa, Eugenio; Bnà, Simone; Bornia, Giorgio: A monolithic ALE Newton-Krylov solver with multigrid-Richardson-Schwarz preconditioning for incompressible fluid-structure interaction (2018)
  10. Pearson, John W.; Pestana, Jennifer; Silvester, David J.: Refined saddle-point preconditioners for discretized Stokes problems (2018)
  11. Wang, Yifan; Quaini, Annalisa; Čanić, Sunčica: A higher-order discontinuous Galerkin/arbitrary Lagrangian Eulerian partitioned approach to solving fluid-structure interaction problems with incompressible, viscous fluids and elastic structures (2018)
  12. Koppenol, Daniël C.; Vermolen, Fred J.; Koppenol-Gonzalez, Gabriela V.; Niessen, Frank B.; van Zuijlen, Paul P. M.; Vuik, Kees: A mathematical model for the simulation of the contraction of burns (2017)
  13. Loy, K. C.; Bourgault, Y.: On efficient high-order semi-implicit time-stepping schemes for unsteady incompressible Navier-Stokes equations (2017)
  14. Mahmood, R.; Kousar, N.; Yaqub, M.; Jabeen, K.: Numerical simulations of the square lid driven cavity flow of Bingham fluids using nonconforming finite elements coupled with a direct solver (2017)
  15. Nikitin, Kirill D.; Olshanskii, Maxim A.; Terekhov, Kirill M.; Vassilevski, Yuri V.; Yanbarisov, Ruslan M.: An adaptive numerical method for free surface flows passing rigidly mounted obstacles (2017)
  16. Rebholz, Leo G.; Xiao, Mengying: Improved accuracy in algebraic splitting methods for Navier-Stokes equations (2017)
  17. Cifani, P.; Michalek, W. R.; Priems, G. J. M.; Kuerten, J. G. M.; van der Geld, C. W. M.; Geurts, B. J.: A comparison between the surface compression method and an interface reconstruction method for the VOF approach (2016)
  18. Liska, Sebastian; Colonius, Tim: A fast lattice Green’s function method for solving viscous incompressible flows on unbounded domains (2016)
  19. Mandal, Saptarshi; Ouazzi, Abderrahim; Turek, Stefan: Modified Newton solver for yield stress fluids (2016)
  20. Rodrigo, Carmen: Poroelasticity problem: numerical difficulties and efficient multigrid solution (2016)

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