ReducedUnsteadyNS.H

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 * In real Time Highly Advanced Computational Applications for Finite Volumes
 * Copyright (C) 2017 by the ITHACA-FV authors
-------------------------------------------------------------------------------
License
    This file is part of ITHACA-FV
    ITHACA-FV is free software: you can redistribute it and/or modify
    it under the terms of the GNU Lesser General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.
    ITHACA-FV is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
    GNU Lesser General Public License for more details.
    You should have received a copy of the GNU Lesser General Public License
    along with ITHACA-FV. If not, see <http://www.gnu.org/licenses/>.
Class
    reducedProblem
Description
    A reduced problem for the unsteady NS equations
SourceFiles
    reducedUnsteadyNS.C
\*---------------------------------------------------------------------------*/

 
#ifndef ReducedUnsteadyNS_H
#define ReducedUnsteadyNS_H
 
#include "fvCFD.H"
#include "IOmanip.H"
#include "ReducedSteadyNS.H"
#include "unsteadyNS.H"
#include <Eigen/Dense>
#include <unsupported/Eigen/NonLinearOptimization>
#include <unsupported/Eigen/NumericalDiff>

struct newton_unsteadyNS_sup: public newton_argument<double>
{
    public:
        newton_unsteadyNS_sup() {}
 
        newton_unsteadyNS_sup(int Nx, int Ny,
                              unsteadyNS& problem): newton_argument<double>(Nx, Ny),
            problem(& problem),
            Nphi_u(problem.NUmodes + problem.liftfield.size() + problem.NSUPmodes),
            Nphi_p(problem.NPmodes),
            N_BC(problem.inletIndex.rows())
        {}
 
        int operator()(const Eigen::VectorXd& x, Eigen::VectorXd& fvec) const;
        int df(const Eigen::VectorXd& x,  Eigen::MatrixXd& fjac) const;
 
        unsteadyNS* problem;
        int Nphi_u;
        int Nphi_p;
        int N_BC;
        scalar nu;
        scalar dt;
        Eigen::VectorXd y_old;
        Eigen::VectorXd yOldOld;
        Eigen::VectorXd BC;
        Eigen::MatrixXd tauU;
};
 

struct newton_unsteadyNS_PPE: public newton_argument<double>
{
    public:
        newton_unsteadyNS_PPE() {}
 
        newton_unsteadyNS_PPE(int Nx, int Ny,
                              unsteadyNS& problem): newton_argument<double>(Nx, Ny),
            problem(& problem),
            Nphi_u(problem.NUmodes + problem.liftfield.size()),
            Nphi_p(problem.NPmodes),
            N_BC(problem.inletIndex.rows())
        {}
 
        int operator()(const Eigen::VectorXd& x, Eigen::VectorXd& fvec) const;
        int df(const Eigen::VectorXd& x,  Eigen::MatrixXd& fjac) const;
 
        unsteadyNS* problem;
        int Nphi_u;
        int Nphi_p;
        int N_BC;
        scalar nu;
        scalar dt;
        Eigen::VectorXd y_old;
        Eigen::VectorXd yOldOld;
        Eigen::VectorXd BC;
        Eigen::MatrixXd tauU;
};
 
 
/*---------------------------------------------------------------------------*\
                        Class reducedProblem Declaration
\*---------------------------------------------------------------------------*/


class reducedUnsteadyNS: public reducedSteadyNS
{
    private:
 
    public:
        // Constructors
        reducedUnsteadyNS();
        explicit reducedUnsteadyNS(unsteadyNS& problem);
 
        ~reducedUnsteadyNS() {};

        newton_unsteadyNS_sup newton_object_sup;

        newton_unsteadyNS_PPE newton_object_PPE;

        scalar time;

        double dt;

        scalar finalTime;

        scalar tstart;

        double storeEvery;

        double exportEvery;

        bool startFromZero = false;

        int timeStepPenalty = 1;

        Eigen::MatrixXd tauIter;

        scalar maxIterPenalty;

        scalar tolerancePenalty;

        unsteadyNS* problem;
 
        // Functions

        Eigen::MatrixXd penalty_PPE(Eigen::MatrixXd& vel_now, Eigen::MatrixXd& tauIter,
                                    int startSnap = 0);

        Eigen::MatrixXd penalty_sup(Eigen::MatrixXd& vel_now, Eigen::MatrixXd& tauIter,
                                    int startSnap = 0);

        void solveOnline_PPE(Eigen::MatrixXd vel_now, int startSnap = 0);

        void solveOnline_sup(Eigen::MatrixXd vel_now, int startSnap = 0);

        void reconstruct(bool exportFields = false,
                         fileName folder = "./online_rec");

        Eigen::MatrixXd setOnlineVelocity(Eigen::MatrixXd vel);
 
};
 
 
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
 
 
 
#endif