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 psuedotransient 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. 1620 (p. 282 in CFXSolver Theory Guide) are not important for steady applications, but Eqn. 79 (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 perequation, 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 underrelaxations 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 
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