You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Compute residual for p, T. Use that to decide on convergence of a Picard (fixed point) iteration.
Rationale for the enhancement
When doing Picard iterations, MOOSE considers only primary variables, thus it reports 0. for subchannel solves. If we can feed the residual from subchannel into the Executioner, then we can control convergence criteria as in a usual MOOSE-based app.
Identified impact
(i.e. Internal object changes, limited interface changes, public API change, or a list of specific applications impacted)
Gain functionality, better usability.
Notes
Since subchannel use p and T, this may be a little more challenging to implement, since MOOSE decides on convergence using only a single value.
The text was updated successfully, but these errors were encountered:
Imported from https://github.inl.gov/ncrc/subchannel/issues/58 : @moose-ncrc created issue at Feb 21, 2022 09:12AM MST:
In GitLab by @andrsd on Feb 21, 2022, 09:12
Description of the enhancement
Compute residual for
p
,T
. Use that to decide on convergence of a Picard (fixed point) iteration.Rationale for the enhancement
When doing Picard iterations, MOOSE considers only primary variables, thus it reports
0.
for subchannel solves. If we can feed the residual from subchannel into the Executioner, then we can control convergence criteria as in a usual MOOSE-based app.Identified impact
(i.e. Internal object changes, limited interface changes, public API change, or a list of specific applications impacted)
Gain functionality, better usability.
Notes
p
andT
, this may be a little more challenging to implement, since MOOSE decides on convergence using only a single value.The text was updated successfully, but these errors were encountered: