Skip to content
GitLab
Projects Groups Snippets
  • /
  • Help
    • Help
    • Support
    • Community forum
    • Submit feedback
    • Contribute to GitLab
  • Sign in / Register
  • openfoam openfoam
  • Project information
    • Project information
    • Activity
    • Labels
    • Members
  • Repository
    • Repository
    • Files
    • Commits
    • Branches
    • Tags
    • Contributors
    • Graph
    • Compare
  • Issues 426
    • Issues 426
    • List
    • Boards
    • Service Desk
    • Milestones
  • Merge requests 9
    • Merge requests 9
  • Deployments
    • Deployments
    • Releases
  • Wiki
    • Wiki
  • Activity
  • Graph
  • Create a new issue
  • Commits
  • Issue Boards
Collapse sidebar
  • Development
  • openfoamopenfoam
  • Merge requests
  • !307

ENH: New adjont shape optimisation functionality

  • Review changes

  • Download
  • Email patches
  • Plain diff
Merged Vaggelis Papoutsis requested to merge feature-adjoint-shapeOptimisation into develop Dec 12, 2019
  • Overview 0
  • Commits 1
  • Changes 608

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 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, Dr. 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

Assignee
Assign to
Reviewers
Request review from
Time tracking
Source branch: feature-adjoint-shapeOptimisation