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ENH: New adjont shape optimisation functionality

Vaggelis Papoutsis requested to merge feature-adjoint-shapeOptimisation into develop

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

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