A set of libraries and executables creating a workflow for performing
gradient-based optimisation loops. The main executable (adjointOptimisationFoam)
solves the flow (primal) equations, followed by the adjoint equations and,
eventually, the computation of sensitivity derivatives.
Current functionality supports the solution of the adjoint equations for
incompressible turbulent flows, including the adjoint to the Spalart-Allmaras
turbulence model and the adjoint to the nutUSpaldingWallFunction, [1], [2].
Sensitivity derivatives are computed with respect to the normal displacement of
boundary wall nodes/faces (the so-called sensitivity maps) following the
Enhanced Surface Integrals (E-SI) formulation, [3].
The software was developed by PCOpt/NTUA and FOSS GP, with contributions from
Dr. Evangelos Papoutsis-Kiachagias,
Konstantinos Gkaragounis,
Professor Kyriakos Giannakoglou,
Andy Heather
and contributions in earlier version from
Dr. Ioannis Kavvadias,
Dr. Alexandros Zymaris,
Dr. Dimitrios Papadimitriou
[1] A.S. Zymaris, D.I. Papadimitriou, K.C. Giannakoglou, and C. Othmer.
Continuous adjoint approach to the Spalart-Allmaras turbulence model for
incompressible flows. Computers & Fluids, 38(8):1528–1538, 2009.
[2] E.M. Papoutsis-Kiachagias and K.C. Giannakoglou. Continuous adjoint methods
for turbulent flows, applied to shape and topology optimization: Industrial
applications. 23(2):255–299, 2016.
[3] I.S. Kavvadias, E.M. Papoutsis-Kiachagias, and K.C. Giannakoglou. On the
proper treatment of grid sensitivities in continuous adjoint methods for shape
optimization. Journal of Computational Physics, 301:1–18, 2015.
Integration into the official OpenFOAM release by OpenCFD
Integration of VOF MULES new interfaces. Update of VOF solvers and all instances
of MULES in the code.
Integration of reactingTwoPhaseEuler and reactingMultiphaseEuler solvers and sub-models
Updating reactingEuler tutorials accordingly (most of them tested)
New eRefConst thermo used in tutorials. Some modifications at thermo specie level
affecting mostly eThermo. hThermo mostly unaffected
New chtMultiRegionTwoPhaseEulerFoam solver for quenching and tutorial.
Phases sub-models for reactingTwoPhaseEuler and reactingMultiphaseEuler were moved
to src/phaseSystemModels/reactingEulerFoam in order to be used by BC for
chtMultiRegionTwoPhaseEulerFoam.
Update of interCondensatingEvaporatingFoam solver.
Modified revert of commit 6c6f777bd5.
- The "alphaContactAngleFvPatchScalarField" occurs in several
places in the code base:
- as abstract class for two-phase properties
- in various multiphase solvers
To resolve potential linking conflicts, renamed the abstract class
as "alphaContactAngleTwoPhaseFvPatchScalarField" instead.
This permits potential linking of two-phase and multi-phase
libraries without symbol conflicts and has no effect on concrete
uses of two-phase alphaContactAngle boudary conditions.
- number of particles per parcel info to kinematic cloud
- added turbulent dispersion to basicHeterogeneousReactingParcel
- corrected dhsTrans in MUCSheterogeneousRate::calculate
- added cloud macro system to reactingParcelFoam and fixed calculation
of average particles per parcel
- added progress variable dimension to reacting model (nF)
- added ReactingHeterogeneous tutorial
ENH: Several modifycations to avoid erroneuos rays to be shot
from wrong faces.
ENH: Updating tutorials and avoiding registration of the
coarse singleCellFvMesh
Adding solarLoad tutorial case simpleCarSolarPanel
ENH: Changes needed for the merge
- Eg, with surface writers now in surfMesh, there are fewer libraries
depending on conversion and sampling.
COMP: regularize linkage ordering and avoid some implicit linkage (#1238)
- Global functions are unary or combining binary functions, which are
defined in MinMax.H (MinMaxOps.H).
There are also global reduction functions (gMinMax, gMinMaxMag)
as well as supporting 'Op' classes:
- minMaxOp, minMaxEqOp, minMaxMagOp, minMaxMagEqOp
Since the result of the functions represents a content reduction
into a single MinMax<T> value (a min/max pair), field operations
returning a field simply do not make sense.
- Implemented for lists, fields, field-fields, DimensionedField,
GeometricField (parallel reducing, with boundaries).
- Since the minMax evaluates during its operation, this makes it more
efficient for cases where both min/max values are required since it
avoids looping twice through the data.
* Changed GeometricField writeMinMax accordingly.
ENH: clip as field function
- clipping provides a more efficient, single-pass operation to apply
lower/upper limits on single or multiple values.
Examples,
scalarMinMax limiter(0, 1);
limiter.clip(value)
-> returns a const-ref to the value if within the range, or else
returns the appropriate lower/upper limit
limiter.inplaceClip(value)
-> Modifies the value if necessary to be within lower/upper limit
Function calls
clip(value, limiter)
-> returns a copy after applying lower/upper limit
clip(values, limiter)
-> returns a tmp<Field> of clipped values
- Can result in inadvertent conversions where the user should really
know or check if the pointer is valid prior to using.
- Still have several places to fix that are using the deprecated copy
construct and copy assignment
- accidentally introduced by 27c62303ad
STYLE: trial use of brace-initialized dimensionSet
- instead of writing
dimensionedScalar(dimensionSet(1, -2, -2, 0, 0, 0), Zero);
we can use C++11 brace-initialization to bundle the parameters
for the dimensionSet construction and simply write
dimensionedScalar({1, -2, -2, 0, 0, 0}, Zero);
Note the following is incorrect syntax (extra brackets):
dimensionedScalar(({1, -2, -2, 0, 0, 0}), Zero);
- identical to found(), which should be used for more consistency.
The contains() is a remnant from when hashedWordList was generalized
from a speciesTable (OCT 2010)
