You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Is there any info on the normalization of variables? In the examples we just grab some equations using a function like LinearScalarAdvectionEquation2D(). But, for example, the Navier-Stokes equations require an input of the viscosity and Prandtl number:
CompressibleNavierStokesDiffusion2D(equations, mu = mu(),
Prandtl = prandtl_number(),
gradient_variables = GradientVariablesPrimitive())
Usually, you would normalize the Navier-Stokes equations given the viscosity and prandtl number so is this happening internally or do you initial conditions and any other input have to already be normalized?
The text was updated successfully, but these errors were encountered:
Trixi.jl does not enforce any special nondimensionalization. For example, the docstring of the compressible Navier-Stokes terms states that you can choose your favorite nondimensionalization - but you are responsible for making everything consistent.
Does this answer your question? If so, do you have suggestions how to improve the documentation to clarify this?
Hi all,
Is there any info on the normalization of variables? In the examples we just grab some equations using a function like
LinearScalarAdvectionEquation2D()
. But, for example, the Navier-Stokes equations require an input of the viscosity and Prandtl number:Usually, you would normalize the Navier-Stokes equations given the viscosity and prandtl number so is this happening internally or do you initial conditions and any other input have to already be normalized?
The text was updated successfully, but these errors were encountered: