Time discretisation scheme for steady state case
 

Hi, All!

Tell me, please, what is the time discretisation scheme use for steady state problems in CFX: First Order Backward Euler or Second Order Backward Euler?

Thanks :) Andrey

Re: Time discretisation scheme for steady state ca
 

What do you think?

Re: Time discretisation scheme for steady state ca
 

It depends on the application, but generally the second order scheme is used.

Re: Time discretisation scheme for steady state ca
 

Mmm... I don't know, were in GUI I can check or change it. How it depends on the application? My usual application is subsonic and transonic flow over airfoils, wings, airplanes, etc.

Thanks…

Andrey

Re: Time discretisation scheme for steady state ca
 

Hi,

Umm - in steady state flow the transient terms are zero so there is no discretisation. That is why you got a sarcastic reply from Cyclone. CFX uses a psuedo-transient approach to converge to a steady state simulation and that would use a simplified type of first order discretisation. But you should not take any notice of any time related stuff in a steady state flow as the underlying equations do not include all the transient terms. You need to do a transient simulation for that.

Glenn Horrocks

Re: Time discretisation scheme for steady state ca
 

Hi!

Sorry for my English, guys. Sarcasm is not good. I understand difference in transient and pseudotransient problems. I interested in steady state (pseudotransient) problem. Would you say, that Eqn. 16-20 (p. 282 in CFX-Solver Theory Guide) are not important for steady applications, but Eqn. 7-9 (280) are right for them? So CFX uses for steady problems First order scheme in time (pseudotime :). Is this right? But Mehul, why do you say: «generally the second order scheme is used»?

Thank you for your time

Andrey

Re: Time discretisation scheme for steady state ca
 

CFX uses the first order backwards Euler scheme to implement implicit relaxation. Since time accuracy does not matter:

- no inner iterations are performed, so the flow is not forced to balance within a timestep, only at steady state convergence.

- the physical timescale can be set per-equation, so sometimes this is called 'false' timestepping because different equations have different false time values.

- the equations are assembled and solved once per iteration/time step.

- some under-relaxations for explicit contributions (such as 2nd order corrections for advection) are increased, relative to the true transient values, to help with stability.

Make sense?

Re: Time discretisation scheme for steady state ca
 

Yes. Thanks a lot :)

Andrey