Why we use turbulence modeling?
Hi,
May I ask for a full answer to this basic question? Why we use turbulence modeling? Thanks! Best, lnk |
Main reason is that we use meshes which does not have fine enough resolutions to capture all the fluid motion. If you have a fine enough mesh then you don't have to use any turbulence modelling and it is call Direct Numerical Simulation (DNS). Anything short on that you need some kind of modelling to count for the missing resolution.
|
as already stated, using turbulence modelling has an historical motivation, when computers were so poor that the computational grids were unable to solve for the whole range of scales...
Now, DNS can be a chance in some problems, at least of small/average scales. However, for industrial applications is very often prefered using turbulence modelling in CFD prediction for very rapid evaluations ... for them, using DNS is a tool to expensive computationally, what is more even if they use DNS very often the consequent database is too large to be managed. Turbulence modelling will continue survive for long time ... but we are slowly swithing from RANS/URANS to LES formulations... |
For almost every flow with practical relevance, it is simply impossible (and will be for the next few decades) to perform a DNS, e.g. to resolve all turbulent scales without modeling assumptions.
The limitation is the computational cost, which scales with Re^(9/4). Additionally, engineers often only require Reynolds averaged values of the flow field, thus DNS or LES methods would simply be an overkill, even if applicable. |
Within less than 30 years, turbulence modeling will be completely useless since computers will be powerful enough to handle all range of scales until kolmogorov scale with DNS.
You will be able to solve the flow over a F17 at mach 3 on your play station during your breakfast :D All turbulence modelers have only jobs for 30 years left ;), so do not start in this field if you don't want to turn jobless soon :p |
Quote:
|
At present time PS4 is available, you just have to wait PS9 or Iphone13 and it will be done :D
|
Quote:
|
Quote:
|
Quote:
We shall continue this discussion in 30 years and you will see that I was right ! ;) In 1950 the computers of that time needed 70 hours to compute the first 2000 digits of pi number. 50 years later a japanese guy Shigeru Kondo computed 135 millions of digits in 2h45mn on a simple pentium III... I guess if we had said in 1950 to Von Neumann that we could compute 135 milllions of digits of pi in 50 years later in less than 3h ,while he was struggling with only 2000 digits he would have required that one send you in a psychiatric hospital. :D The record by the same guy is 5000 billions of digits and it required 90 days of computations. If we had said this to Von Neuman he would have lost its mind immediatly :D so you see...just be patient...;) |
Quote:
|
While I enjoy this discussion I am a bit more cautious. It seems to me that the time to solve a CFD problem has stayed more or less constant over time. With more computational power we just tend to add more cells and physics. Also, the information in DNS might not even be useful for some industrial applications, just think about how to get all boundary data for complex systems. I'd use a RANS model any day over DNS if it produced tolerable answers, well at least until the computers are so powerful that I won't even notice the difference in calculation time. Less is more, right? ;)
|
Quote:
But a time will come when our more secrets will, could be technically satisfied...Also over a limit it won't bring anything to keep increasing the number of nodes. |
several years ago I ran simulations of 2d flows on a RISC-based computer and waited for days, now I run simulation of 3d flows on I7-based computer and ... wait for days! :D
|
Quote:
But in several decades you could perform ten times bigger cases on a massive computer with 10.000 I7 that you should have bought for few dollars in your super market while making your shopping for dinner :D |
Quote:
At that time I will mount them on my wheelchair ...:D |
Quote:
:D:D:D No because at that time wheelchairs will be old-fashioned Everyone could have an exoskeleton !!:D |
Quote:
|
you guys having a party here? :) smoking some herbs? ;)
|
Quote:
|
Quote:
yes the party was nice !!!! :D good music, good herbs, sexy girls...:cool: but unfortunately for you cfdnewbie you lef the party too early :p |
The ironic part of this discussion is that in my field of research I am probably better off doing no simulations and just waiting for better algorithms and computers. Ok that sounds good, perhaps computers are better tomorrow morning. Good Night ;)
|
Reason for using turbulence modeling
Turbulence modeling is the construction and use of a mathematical model to predict the effects of turbulence. Turbulent flows are commonplace in most real life scenarios, including the flow of blood through the cardiovascular system, the airflow over an aircraft wing, the re-entry of space vehicles, besides others. In spite of decades of research, there is no analytical theory to predict the evolution of these turbulent flows. The equations governing turbulent flows can only be solved directly for simple cases of flow. For most real life turbulent flows, CFD simulations use turbulent models to predict the evolution of turbulence. These turbulence models are simplified constitutive equations that predict the statistical evolution of turbulent flows. That's why we use it. I learned about this at a party sound & lighting hire company as odd as it seems.
|
All times are GMT -4. The time now is 09:32. |