Turbulence Modeling for CFD Simulation
In computational fluid dynamics (CFD), even simple flows are difficult to compute. And, the computational complexity grows exponentially when accounting for turbulence: irregular fluid motions that span a wide range of scales in space and time.
Selecting the right method for modeling turbulence physics is critical … and confusing. While turbulence can be fully described by the Navier-Stokes equations, direct numerical simulation is impractical due to massive resource requirements. So how do you choose from among the many available turbulence models to meet your design-specific challenges? With expert guidance. ANSYS offers a variety of simulations — comprising a wide range of model formulations and strategies — plus the comprehensive selection support to ensure your solution delivers the accuracy you need.
Learn how turbulence model selection can impact simulation accuracy — even for seemingly simple applications. Turbulence is a critical computational fluid dynamics (CFD) app that you must get right.
Turbulent Flow Simulation Methods
- Direct Numerical Simulation (DNS)
- Scale Resolving Simulation (SRS)
- Reynolds-Averaged Navier-Stokes Simulation (RANS)
Calculates the exact turbulence solution, but is too computationally intensive to be practical.
- Numerically solves the full unsteady Navier-Stokes equations
- Useful only as a research tool
Delivers the greatest accuracy for real-world computing capacities.
- Directly calculates the motion of the largest turbulent eddies in at least a portion of the domain
- Especially suited for large-scale separations, strongly swirling flows, acoustics, etc.
- Large eddy simulation (LES) models included in this category
Good enough solution for many industrial flows.
- Time-averaged solution “smooths” turbulent eddies
- Requires least computational power