CFD Online Logo CFD Online URL
www.cfd-online.com
[Sponsors]
Home > Forums > General Forums > Main CFD Forum

[3D Vortex Particle Method]The function in diffusion operator

Register Blogs Community New Posts Updated Threads Search

Like Tree1Likes
  • 1 Post By Alex C.

Reply
 
LinkBack Thread Tools Search this Thread Display Modes
Old   April 17, 2015, 08:34
Question [3D Vortex Particle Method]The function in diffusion operator
  #1
New Member
 
Youjiang Wang
Join Date: Apr 2015
Location: Hamburg
Posts: 22
Rep Power: 11
wyj216 is on a distinguished road
For the vorticity diffusion, the Laplacian operator \Delta\vec{\omega} is always replaced by an integral operator . A function \eta(\rho) is used in the integral. Then the diffusion term looks like

\Delta\vec{\omega} = \frac{2}{\sigma^2}\int\eta_{sigma}(\vec{x}-\vec{y})(\vec{\omega}(\vec{y})-\vec{\omega}(\vec{x}))dy

and \eta_{sigma}(\vec{x}-\vec{y}) = \frac{1}{\sigma^3}\eta(\frac{|\vec{x}-\vec{y}|}{\sigma}),for the vortex particle method, the change of particles' strength according to the diffusion would be

\frac{d\vec{\alpha}_k}{dt}=\frac{2\nu}{\sigma^2}\sum_l(vol_k\vec{\alpha}_l-vol_l\vec{\alpha}_k)\eta_{\sigma}(\vec{x}_k-\vec{x}_l)

It is said that the function \eta(\rho) can be got from the vorticity smoothing function \zeta(\rho) as
\eta(\rho)  = -\frac{1}{\rho}\frac{d\zeta(\rho)}{d\rho}
My question is that, there is a 2nd order algebraic smoothing function \frac{15}{8\pi}\frac{1}{(1+\rho^2)^{3.5}} and a 4th order Gaussian smoothing function -\frac{3}{4\pi}e^{-\rho^3}+\frac{3}{\pi}e^{-2*\rho^3}. I have calculated the corresponding integral function for the both smoothing functions, and plotted against \rho. However, as i see it, the properties are really different .
tmp.jpg
Which is correct? Or both can be used?

Last edited by wyj216; April 20, 2015 at 05:39. Reason: correct notation errors and make it more clear
wyj216 is offline   Reply With Quote

Old   April 17, 2015, 09:28
Default
  #2
Member
 
Join Date: Jul 2013
Posts: 56
Rep Power: 13
Alex C. is on a distinguished road
1) Two small comments on notation. It might be a personal preference more than a requirement, but still.
a) \nabla\omega is gradient operator, while Laplacien operator is usually either \nabla^2\omega or \Delta\omega.
b) In 3D vortex formulation, the vorticity is a vector. It is not explicit in your notation.
2) I have not yet worked an applied project with vortex formulation, but the two function plot made me think about classic results from Lamb-Oseen (Vorticity distribution and Velocity distribution). Your 2nd order algebraic looks like it's more or less the cylindrical derivative about r or your 4th order Gaussian. I might be wrong, but maybe you have mixed some things you shouldn't mix.
wyj216 likes this.
Alex C. is offline   Reply With Quote

Old   April 20, 2015, 05:28
Default
  #3
New Member
 
Youjiang Wang
Join Date: Apr 2015
Location: Hamburg
Posts: 22
Rep Power: 11
wyj216 is on a distinguished road
Quote:
Originally Posted by Alex C. View Post
1) Two small comments on notation. It might be a personal preference more than a requirement, but still.
a) \nabla\omega is gradient operator, while Laplacien operator is usually either \nabla^2\omega or \Delta\omega.
b) In 3D vortex formulation, the vorticity is a vector. It is not explicit in your notation.
2) I have not yet worked an applied project with vortex formulation, but the two function plot made me think about classic results from Lamb-Oseen (Vorticity distribution and Velocity distribution). Your 2nd order algebraic looks like it's more or less the cylindrical derivative about r or your 4th order Gaussian. I might be wrong, but maybe you have mixed some things you shouldn't mix.
Thanks for you advice. Actually, i have used the incorrect notation. Now I have corrected them. It is a blob or ball for vortex particle method, and as i see it, Lamb-Oseen regard the vortex as filament. And the derivative is really w.r.t r or distance from field point to the particle.
I have just began to do some testing code for the 3D particle method. Thus i'm not clear with some concept and equations. Sometimes my question may seem to be quite strange, and i'm sorry for that.
wyj216 is offline   Reply With Quote

Old   April 20, 2015, 19:06
Default
  #4
Member
 
Serguei
Join Date: Mar 2015
Posts: 33
Rep Power: 11
serguei is on a distinguished road
First of all, forget for the moment about math and diffusion also. What is the vortex particle in your model for the 3-d? So, I mean, what is the vorticity "atom", or the singular element physically?
serguei is offline   Reply With Quote

Old   April 22, 2015, 06:29
Default
  #5
New Member
 
Youjiang Wang
Join Date: Apr 2015
Location: Hamburg
Posts: 22
Rep Power: 11
wyj216 is on a distinguished road
Quote:
Originally Posted by serguei View Post
First of all, forget for the moment about math and diffusion also. What is the vortex particle in your model for the 3-d? So, I mean, what is the vorticity "atom", or the singular element physically?
In my opinion, the vortex particle is an approximation of the real physical vorticity field. The vorticity carried by the particle is the total vorticity around it ( of a specified volume, although I don't know whether the volume should be changed with time. )

\alpha_k(t) = \int_{vol_k}\omega(t)dv \approx vol_k\omega(t)

And the position of the particle k is the position of the initial vorticity at time t. So it's a Lagrangian description of the vorticity field.
wyj216 is offline   Reply With Quote

Old   April 24, 2015, 11:03
Default
  #6
Member
 
Serguei
Join Date: Mar 2015
Posts: 33
Rep Power: 11
serguei is on a distinguished road
Actually, there two way to describe the vorticity fields: contentious and discrete. When you are talking about particles "atoms", you assume some discrete set of the elements, which induct the VELOCITY NOT THE VORTICITY between themselves and interact with each other. That is it. After understanding that, you should start to think about nature of those vorticity particles "atoms". For 2-d, that is easy. They are just points, or some pieces of distributed by some way vorticity inside. (Inside each of them, not outside !). They are strait and infinite in the perpendicular direction. For 3-d everything become much complicate on this stage. The vorticity lines should either go to infinity or be closed. Each of those way of representation is a very challenging.
serguei is offline   Reply With Quote

Reply

Tags
3d vortex particle method, diffusion, smoothing function


Posting Rules
You may not post new threads
You may not post replies
You may not post attachments
You may not edit your posts

BB code is On
Smilies are On
[IMG] code is On
HTML code is Off
Trackbacks are Off
Pingbacks are On
Refbacks are On


Similar Threads
Thread Thread Starter Forum Replies Last Post
[snappyHexMesh] How to define to right point for locationInMesh Mirage12 OpenFOAM Meshing & Mesh Conversion 7 March 13, 2016 15:07
Error during reconstructing lagarangian fields ybapat OpenFOAM 9 November 17, 2014 08:52
injection problem Mark New FLUENT 0 August 4, 2013 02:30
[swak4Foam] installation problem with version 0.2.3 Claudio87 OpenFOAM Community Contributions 9 May 8, 2013 11:20
[blockMesh] non-orthogonal faces and incorrect orientation? nennbs OpenFOAM Meshing & Mesh Conversion 7 April 17, 2013 06:42


All times are GMT -4. The time now is 16:03.