- includes restructuring and simplification of low-level ensight part
handling and refactor of backends to improve code reuse.
foamToEnsight
-------------
* new cellZone support.
This was previously only possible via a separate foamToEnsightParts
utility that was not parallelized.
* support for point fields.
* `-nearCellValue` option (as per foamToVTK)
* data indexing now uses values from the time index.
This is consistent with the ensightWrite function object and
can help with restarts.
* existing ensight directories are removed, unless the -no-overwrite
option is supplied
foamToEnsightParts
------------------
* now redundant and removed.
ensightOutputSurface (new class)
--------------------------------
* a lightweight wrapper for point/face references that is tailored
for the ensightSurfaceWriter. It uses compact face/point information
and is serial only, since this is the format requirements from the
surfaceWriter class.
ensightMesh (revised class)
---------------------------
* now only holds a polyMesh reference, which removes its dependency
on finiteVolume and allows it to be relocated under fileFormats
instead of conversion.
Removed classes: ensightParts, ensighPartFaces, ensightPartCells
- these were used by foamToEnsightParts, but not needed anymore.
- previously the store() method just set the ownedByRegistry flag.
Now ensure that it is indeed registered first.
- support register/store of tmp<> items.
The tmp parameter is not cleared, but changed from PTR to CREF
to allow further use.
The implicit registration allows code simplification using the
GeometricField::New factory method, for example.
Old Code
========
volScalarField* ptr = new volScalarField
(
IOobject
(
fieldName,
mesh.time().timeName(),
mesh,
IOobject::NO_READ,
IOobject::NO_WRITE,
true // Register
),
mesh,
dimless,
zeroGradientFvPatchField<scalar>::typeName
);
ptr->store();
New Code
========
auto tptr = volScalarField::New
(
fieldName,
mesh,
dimless,
zeroGradientFvPatchField<scalar>::typeName
);
regIOobject::store(tptr);
or even
regIOobject::store
(
volScalarField::New
(
fieldName,
mesh,
dimless,
zeroGradientFvPatchField<scalar>::typeName
)
);
- kEpsilonPhitF is a kEpsilon-based model which originated
from (Durbin, 1995)’s v2-f methodology. However, the majority of
v2-f model variants proved to be numerically stiff for segregated
solution algorithms due to the coupled formulations of v2 and f fields,
particularly on wall boundaries.
The v2-f variant (i.e. OpenFOAM’s v2f model) due to
(Lien and Kalitzin, 2001) reformulated the original v2-f model to enable
segregated computations; however, a number of shortcomings regarding
the model fidelity were reported in the literature.
To overcome the shortcomings of the v2-f methodology, the v2-f approach
was re-evaluated by (Laurence et al., 2005) by transforming v2 scale into
its equivalent non-dimensional form, i.e. phit, to reduce the numerical
stiffness.
This variant, i.e. kEpsilonPhitF, is believed to provide numerical
robustness, and insensitivity to grid anomalies while retaining the
theoretical model fidelity of the original v2-f model.
Accordingly the v2f RANS model is deprecated in favour of the variant
kEpsilonPhitF model.
When activeDesignVariables are not set explicitly, all design variables
are treated as active. These were allocated properly when starting from
0 but not when starting from an intermediate optimisation cycle
(e.g. running 5 optimisation cycles, stopping and restarting).
TUT: added a new tutorial including the restart of an optimisation run
to help identify future regression
The controlBoxes wordList was removed from NURBS3DVolume in the
pre-release phase but writeMorpherCPs was not updated accordingly.
TUT: added the invocation of writeMorpherCPs in one of the tutotials to
help identify future regression
- ensure that the updateControl is "non-sticky" on re-read,
even if we do not support runtime-modifiable here
STYLE: add syntax example (wingMotion), but with updateInterval 1
The adjoint library is enhanced with new functionality enabling
automated shape optimisation loops. A parameterisation scheme based on
volumetric B-Splines is introduced, the control points of which act as
the design variables in the optimisation loop [1, 2]. The control
points of the volumetric B-Splines boxes can be defined in either
Cartesian or cylindrical coordinates.
The entire loop (solution of the flow and adjoint equations, computation
of sensitivity derivatives, update of the design variables and mesh) is
run within adjointOptimisationFoam. A number of methods to update the
design variables are implemented, including popular Quasi-Newton methods
like BFGS and methods capable of handling constraints like loop using
the SQP or constraint projection.
The software was developed by PCOpt/NTUA and FOSS GP, with contributions from
Dr. Evangelos Papoutsis-Kiachagias,
Konstantinos Gkaragounis,
Professor Kyriakos Giannakoglou,
Andy Heather
[1] E.M. Papoutsis-Kiachagias, N. Magoulas, J. Mueller, C. Othmer,
K.C. Giannakoglou: 'Noise Reduction in Car Aerodynamics using a
Surrogate Objective Function and the Continuous Adjoint Method with
Wall Functions', Computers & Fluids, 122:223-232, 2015
[2] E. M. Papoutsis-Kiachagias, V. G. Asouti, K. C. Giannakoglou,
K. Gkagkas, S. Shimokawa, E. Itakura: ‘Multi-point aerodynamic shape
optimization of cars based on continuous adjoint’, Structural and
Multidisciplinary Optimization, 59(2):675–694, 2019
The optional 'fields' entry can be used to limit which particle fields are
written to file. If empty/not specified, all properties are written to
maintain backwards compatibility.
patchPostProcessing1
{
type patchPostProcessing;
maxStoredParcels 20;
fields (position "U.*" d T nParticle);
patches
(
cycLeft_half0
cycLeft_half1
);
}
- replace stringOps::toScalar with a more generic stringOps::evaluate
method that handles scalars, vectors etc.
- improve #eval to handle various mathematical operations.
Previously only handled scalars. Now produce vectors, tensors etc
for the entries. These tokens are streamed directly into the entry.
