Channelflow is a software system for numerical analysis of the incompressible Navier-Stokes flow in channel geometries, written in C++. The core engine of Channelflow is a spectral CFD1) algorithm for integrating the Navier-Stokes equations. This engine drives a number of higher-level algorithms that (for example) compute equilibria, traveling waves, and periodic orbits of Navier-Stokes. Channelflow provides these algorithms in an easy-to-use, flexible, and intelligible form by using relatively modern software design. Channelflow consists of a software library for rapid, high-level development of spectral CFD codes and a set of predefined executable programs that perform common tasks involving CFD. Channelflow is customized for Fourier x Chebyshev x Fourier expansions appropriate for rectangular geometries with periodic boundary conditions in two directions and rigid walls in the remaining direction.

References in zbMATH (referenced in 79 articles , 1 standard article )

Showing results 1 to 20 of 79.
Sorted by year (citations)

1 2 3 4 next

  1. Lellep, Martin; Prexl, Jonathan; Eckhardt, Bruno; Linkmann, Moritz: Interpreted machine learning in fluid dynamics: explaining relaminarisation events in wall-bounded shear flows (2022)
  2. Parente, E.; Robinet, J.-Ch.; De Palma, P.; Cherubini, S.: Linear and nonlinear optimal growth mechanisms for generating turbulent bands (2022)
  3. Parente, E.; Robinet, J.-Ch.; De Palma, P.; Cherubini, S.: Minimal energy thresholds for sustained turbulent bands in channel flow (2022)
  4. Parker, J. P.; Schneider, T. M.: Variational methods for finding periodic orbits in the incompressible Navier-Stokes equations (2022)
  5. Pershin, Anton; Beaume, Cédric; Eaves, Tom S.; Tobias, Steven M.: Optimizing the control of transition to turbulence using a Bayesian method (2022)
  6. Amaral, Filipe R.; Cavalieri, André V. G.; Martini, Eduardo; Jordan, Peter; Towne, Aaron: Resolvent-based estimation of turbulent channel flow using wall measurements (2021)
  7. Herrmann, Benjamin; Baddoo, Peter J.; Semaan, Richard; Brunton, Steven L.; McKeon, Beverley J.: Data-driven resolvent analysis (2021)
  8. Tissot, Gilles; Cavalieri, André V. G.; Mémin, Étienne: Stochastic linear modes in a turbulent channel flow (2021)
  9. Azimi, Sajjad; Schneider, Tobias M.: Self-similar invariant solution in the near-wall region of a turbulent boundary layer at asymptotically high Reynolds numbers (2020)
  10. Davis, Ethan A.; Park, Jae Sung: Dynamics of laminar and transitional flows over slip surfaces: effects on the laminar-turbulent separatrix (2020)
  11. Jose Manuel López; Daniel Feldmann; Markus Rampp; Alberto Vela-Martín; Liang Shie; Marc Avila: nsCouette - A high-performance code for direct numerical simulations of turbulent Taylor-Couette flow (2020) not zbMATH
  12. Langham, Jake; Eaves, Tom S.; Kerswell, Rich R.: Stably stratified exact coherent structures in shear flow: the effect of Prandtl number (2020)
  13. Linkmann, Moritz; Knierim, Florian; Zammert, Stefan; Eckhardt, Bruno: Linear feedback control of invariant solutions in channel flow (2020)
  14. Li, Tao; Pan, Jiaying; Kong, Fanfu; Xu, Baopeng; Wang, Xiaohan: A quasi-direct numerical simulation solver for compressible reacting flows (2020)
  15. Paranjape, Chaitanya S.; Duguet, Yohann; Hof, Björn: Oblique stripe solutions of channel flow (2020)
  16. Pershin, Anton; Beaume, Cédric; Tobias, Steven M.: A probabilistic protocol for the assessment of transition and control (2020)
  17. Reetz, Florian; Schneider, Tobias M.: Invariant states in inclined layer convection. I: Temporal transitions along dynamical connections between invariant states (2020)
  18. Reetz, Florian; Subramanian, Priya; Schneider, Tobias M.: Invariant states in inclined layer convection. II: Bifurcations and connections between branches of invariant states (2020)
  19. Alizard, Frédéric; Biau, Damien: Restricted nonlinear model for high- and low-drag events in plane channel flow (2019)
  20. Deguchi, Kengo: High-speed shear-driven dynamos. II: Numerical analysis (2019)

1 2 3 4 next

Further publications can be found at: