• Vaggelis Papoutsis's avatar
    CONTRIB: New adjoint optimisation and tools · 32b7d7c2
    Vaggelis Papoutsis authored
    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
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