multiphaseReactingTurbulenceModels and twoPhaseReactingTurbulenceModels
add models to the same table TurbulenceModel. These two libs were removed
from libreactingPhaseSystem which created the conflict.
The multiphaseReactingTurbulenceModels was added to
reactingMultiPhaseEulerFoam solver and twoPhaseReactingTurbulenceModels to
twoPhaseReactingEulerFoam solver
The FO heatTransferCoeffs for libfieldFunctionObjects needs
twoPhaseReactingTurbulenceModels.
These change avoids linking conflict from multiphaseReactingTurbulenceModels
and twoPhaseReactingTurbulenceModels being linked in the same lib.
- adds into the include-quoted search list instead the general (-Idir)
search list.
* makes it less subject to ordering (since it will now generally be
searched first) and makes it less subject to how duplicate removal
is implemented. In some compilers (#1627), the last instance of
a duplicate directory would be used and not the first instance.
* removes clutter in some Make/options files
COMP: add missing linkage libraries
1) Add interfaceHeatResistance model to icoReactingMultiphaseInterFoam
This model uses a spread source for the continuity Eq.
It is recommended for cases with good mesh resolution.
2) Adding iso-surface type of calculation for the interface for
the kineticGasEvaporation model
3) Add switch for option to take into account volume change
4) Add poolEvaporation tutorial
1) Adding interfaceHeight FO
2) Adding interfaceHeatResistance mass transfer model to
interCondensatingEvaporatingFoam with spread source approach
3) Reworking framework for icoReactingMultiphaseInterFoam
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
- Allows user-defined control of when the mesh motion occurs,
which can be especially useful in situations where the mesh motion
is much slower than any of the fluid physics.
For example, in constant/dynamicMeshDict:
updateControl runTime;
updateInterval 0.5;
to have mesh motion triggered every 1/2 second.
Note that the _exact_ time that the mesh motion actually occurs may
be slightly differently since the "runTime" triggering is fuzzy in
nature. It will trigger when the threshold has been crossed, which
will depend on the current time-step size.
1) Add softWall rigidBody restrain
2) Add linearSpringDamper sixDoF restrain to work as soft rope
3) dynamicMotionSolverListFvMesh changed to dictionary based input
4) Add Time reference access to sixDof restraints
5) Add drivenLinearMotion to solidBodyMotionFunctions.
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
