Commit Graph

12 Commits

Author SHA1 Message Date
Vaggelis Papoutsis
f6dfa76f6d TUT: updated the motorbike tutorial
to also compute smoothed sensitivity maps
2021-12-09 09:18:02 +00:00
Andrew Heather
e3796745ed CONFIG: Updated headers to v2106
Minor clean-up
2021-06-28 09:14:42 +01:00
Kutalmis Bercin
e81cf778a1 TUT: incompressible: clean up tutorials 2021-06-08 20:15:47 +00:00
Andrew Heather
79e353b84e RELEASE: Updated version to v2012 2020-12-23 10:01:39 +01:00
Vaggelis Papoutsis
d0b59a4529 TUT: updated the da entries for the multi-point, turbulent optimisations 2020-12-11 17:22:44 +00:00
Mark Olesen
7051abc371 TUT: fix run/clean scripts syntax 2020-08-04 15:12:40 +02:00
Andrew Heather
538d749220 REL: Updated headers to version v2006 2020-06-29 17:27:54 +01:00
sergio
1bd5d03ea6 TUT: Adjusting settings for tutorials climbingRod and mixerVessel2D 2020-06-25 11:07:53 -07:00
Vaggelis Papoutsis
c344520474 TUT: updated/cleaned the optimisation tutorials
- Removed some unnecessary dynamicMeshDicts.
- Removed the writeActiveDesignVariables execution from the Allrun
  scripts, since it is no longer necessary to execute it before
  adjointOptimisationFoam.
- Updated the entries in dynamicMeshDict according to efbc9fc99.
2020-06-12 13:27:55 +01:00
Andrew Heather
ae2ab06312 REL: Release preparations 2019-12-23 09:49:23 +00:00
Andrew Heather
042c529f9f Merge branch 'feature-adjoint-shapeOptimisation' into 'develop'
ENH: New adjont shape optimisation functionality

See merge request Development/openfoam!307
2019-12-12 14:18:20 +00:00
Vaggelis Papoutsis
b863254308 ENH: New adjont shape optimisation functionality
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
2019-12-12 14:17:29 +00:00