What are the boundary conditions for rotational flow?

In summary, the conversation discusses the boundary condition P=0, z=ζ and its implications in studying irrotational flows. The Bernoulli equation can be used to derive the dynamic boundary condition, but the situation becomes more complex when dealing with rotational motion. The participants also discuss different equations and approaches for applying boundary conditions in rotational flows. Ultimately, it is emphasized that boundary conditions must be motivated by the physics and specific type of flow being modeled.
  • #1
surfwavesfreak
4
0
Hello everyone,
The boundary condition :
P=0, z=ζ
is very common when studying irrotational flows. When cast with the Bernoulli equation, it gives rise to the famous dynamic boundary conditionn, which is much more convenient :
tφ+½(∇φ)2+gζ=0, z=ζ
But what happens if the motion is rotational ? What would be the analog of the dynamic BC ?
This condition is more complex than it seems ...

Thanks a lot !
 
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  • #3
Thanks for your link, but I did not see any equation like
∂tφ+½(∇φ)2+gζ=0, z=ζ
where the pressure is actually removed from the variables.
Any idea ?
 
  • #4
What makes you think there should be one?
The point of the suggestion was to hep you understand how to apply boundary conditions for the situation that flow may be rotational.
Once you can understand that, then you can approach your question.
 
  • #5
I was thinking that may be you could cast p=0, z=ζ and the navier stokes equations :
tui+ujxjui=-∂xip/ρ+gδiz
which I assumed to be valid everywhere, especially at z=ζ
As p=0, ∂xip=0 as well, and you are left with :
tui+ujxjui=gδiz, z=ζ
but I've never seen that anywhere, and I think there may be something wrong somewhere ...
 
  • #6
You need to motivate your boundary conditions from the physics you are trying to model.
 
  • #7
Yes you are right. Following what you said, may be a very straightforward boundary condition would be :
∇p×∇ζ=0, z=ζ
as the pressure is constant along the surface, its gradient should always be directed ortohogonally to the surface of the fluid.
Then you get an equation that you can easily cast with the momentum equations (through the pressure gradient).
 
  • #8
You don't start with the boundary conditions you want, you start with the physical system and deduce what would count as reasonable boundary conditions.
Start with the specific kind of rotational flow you want to model. How does it arise? What boundary conditions will be consistent? Whatever you get out is the model for that situation under the assumptions you made. That's the best you can do.

Note: you can set BCs, and then ask: what sort of flow has those boundary conditions ... but that is not what you were doing either.
 

What is a boundary condition?

A boundary condition is a restriction or requirement that is imposed on a mathematical or physical system at its boundaries. It defines the behavior of the system at the edges or limits of its domain.

Why are boundary conditions important in scientific research?

Boundary conditions are important because they help to accurately model and predict the behavior of a system. They can also provide valuable insights into the underlying mechanisms and dynamics of a system.

What are some common types of boundary conditions?

Some common types of boundary conditions include Dirichlet boundary conditions, which specify the value of a function at a boundary, and Neumann boundary conditions, which specify the derivative of a function at a boundary. Other types include periodic, Robin, and mixed boundary conditions.

How are boundary conditions determined in a scientific study?

Boundary conditions are typically determined through a combination of experimental data and theoretical calculations. In some cases, they may also be based on physical principles or simplifying assumptions.

What are some challenges in defining boundary conditions?

One challenge in defining boundary conditions is ensuring that they accurately represent the behavior of the system being studied. Another challenge is determining the appropriate level of complexity for the boundary conditions, as too many or too few conditions can lead to inaccurate results.

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