https://github.com/cans-world/cales

Canonical direct and large-eddy simulation

https://github.com/cans-world/cales

Science Score: 26.0%

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Keywords

ai cfd computational-fluid-dynamics direct-numerical-simulation fluid-dynamics fortran gpu-computing high-performance-computing large-eddy-simulation machine-learning reinforcement-learning turbulence
Last synced: 5 months ago · JSON representation

Repository

Canonical direct and large-eddy simulation

Basic Info
Statistics
  • Stars: 17
  • Watchers: 1
  • Forks: 7
  • Open Issues: 23
  • Releases: 2
Topics
ai cfd computational-fluid-dynamics direct-numerical-simulation fluid-dynamics fortran gpu-computing high-performance-computing large-eddy-simulation machine-learning reinforcement-learning turbulence
Created over 1 year ago · Last pushed 8 months ago
Metadata Files
Readme License

README.md

CaLES (Canonical Large-Eddy Simulation) is a GPU-accelerated finite-difference solver for large-eddy simulations (LES) of incompressible wall-bounded flows in massively parallel environments. Built upon the DNS solver CaNS, it employs low-storage third-order Runge-Kutta schemes for time integration and supports implicit Crank-Nicolson treatment of viscous terms. A fast direct solver based on eigenfunction expansions is used for Poisson/Helmholtz equations. CaLES implements the Smagorinsky model (with van Driest damping), the dynamic Smagorinsky model, and a logarithmic law wall model. It supports various flow configurations, including channel flows, square ducts, tri-periodic domains, and lid-driven cavities. More details can be found in the official documentation: CaLES Documentation.

Owner

  • Name: CaNS-World
  • Login: CaNS-World
  • Kind: organization

GitHub Events

Total
  • Create event: 1
  • Release event: 1
  • Issues event: 8
  • Watch event: 2
  • Member event: 2
  • Issue comment event: 25
  • Push event: 19
  • Pull request event: 4
  • Fork event: 3
Last Year
  • Create event: 1
  • Release event: 1
  • Issues event: 8
  • Watch event: 2
  • Member event: 2
  • Issue comment event: 25
  • Push event: 19
  • Pull request event: 4
  • Fork event: 3