The old separate incompressible and compressible libraries have been removed.
Most of the commonly used RANS and LES models have been upgraded to the
new framework but there are a few missing which will be added over the
next few days, in particular the realizable k-epsilon model. Some of
the less common incompressible RANS models have been introduced into the
new library instantiated for incompressible flow only. If they prove to
be generally useful they can be templated for compressible and
multiphase application.
The Spalart-Allmaras DDES and IDDES models have been thoroughly
debugged, removing serious errors concerning the use of S rather than
Omega.
The compressible instances of the models have been augmented by a simple
backward-compatible eddyDiffusivity model for thermal transport based on
alphat and alphaEff. This will be replaced with a separate run-time
selectable thermal transport model framework in a few weeks.
For simplicity and ease of maintenance and further development the
turbulent transport and wall modeling is based on nut/nuEff rather than
mut/muEff for compressible models so that all forms of turbulence models
can use the same wall-functions and other BCs.
All turbulence model selection made in the constant/turbulenceProperties
dictionary with RAS and LES as sub-dictionaries rather than in separate
files which added huge complexity for multiphase.
All tutorials have been updated so study the changes and update your own
cases by comparison with similar cases provided.
Sorry for the inconvenience in the break in backward-compatibility but
this update to the turbulence modeling is an essential step in the
future of OpenFOAM to allow more models to be added and maintained for a
wider range of cases and physics. Over the next weeks and months more
turbulence models will be added of single and multiphase flow, more
additional sub-models and further development and testing of existing
models. I hope this brings benefits to all OpenFOAM users.
Henry G. Weller
At the specie level:
hs = sensible enthalpy
ha = absolute (what was total) enthalpy
es = sensibly internal energy
ea = absolute (what was total) internal energy
At top-level
Rename total enthalpy h -> ha
Rename sensible enthalpy hs -> h
Combined h, hs, e and es thermo packages into a single structure.
Thermo packages now provide "he" function which may return either enthalpy or
internal energy, sensible or absolute according to the run-time selected form
alphaEff now returns the effective diffusivity for the particular energy which
the thermodynamics package is selected to solve for.
At the specie level:
hs = sensible enthalpy
ha = absolute (what was total) enthalpy
es = sensibly internal energy
ea = absolute (what was total) internal energy
At top-level
Rename total enthalpy h -> ha
Rename sensible enthalpy hs -> h
Combined h, hs, e and es thermo packages into a single structure.
Thermo packages now provide "he" function which may return either enthalpy or
internal energy, sensible or absolute according to the run-time selected form
alphaEff now returns the effective diffusivity for the particular energy which
the thermodynamics package is selected to solve for.
- allows better inheritance of models, since the coefficients
dictionary can be made to match the derived class.
related to commits 9544280e65 + 14b4c3849c
before:
- 'new' prefixed to camel-cased class name: eg, someClass -> newSomeClass
- 'New' prefixed to templated class name: eg, TmplClass -> NewTmplClass
- 'New' suffixed to class name: eg, someClass -> someClassNew
after:
- consistent 'New' suffixed to class name, no change of case
eg, someClass -> someClassNew
eg, TmplClass -> TmplClassNew
- remove epsilonSmall, omegaSmall
- k0/epsilon0/omega0 become kMin/epsilonMin/omegaMin
- add qMin/zetaMin for consistency
These files still need some attention:
dynOneEqEddy.C
NonlinearKEShih.C
settlingFoam
BUG: incompressible::LESModels:dynOneEqEddy::correct()
- avoid tmp field destruction for consistency with the compressible
version
Possible TODO:
- set kMin to zero (instead of SMALL) and introduce kSmall
to avoid division by zero
