FldAddFalknerSkanBL.cpp

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///////////////////////////////////////////////////////////////////////////////
//
// File: FldAddFalknerSkanBL.cpp
//
// For more information, please see: http://www.nektar.info
//
// The MIT License
//
// Copyright (c) 2006 Division of Applied Mathematics, Brown University (USA),
// Department of Aeronautics, Imperial College London (UK), and Scientific
// Computing and Imaging Institute, University of Utah (USA).
//
// Permission is hereby granted, free of charge, to any person obtaining a
// copy of this software and associated documentation files (the "Software"),
// to deal in the Software without restriction, including without limitation
// the rights to use, copy, modify, merge, publish, distribute, sublicense,
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// Software is furnished to do so, subject to the following conditions:
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// DEALINGS IN THE SOFTWARE.
//
// Description:
//
///////////////////////////////////////////////////////////////////////////////
 
/* ==========================================================================
 * Generation of a .fld file for the Falkner-Skan boundary layer starting
 * from a session file with some physical data for the definition of the
 * BL and a .txt file with the similarity solution.
 * ======================================================================== */
 
/* =====================================
 * Author: Gianmarco Mengaldo
 * Generation: dd/mm/aa = 08/03/12
 * Mantainer: Gianmarco Mengaldo
===================================== */
 
//! Loading cc libraries
#include <cstdio>
#include <cstdlib>
#include <iomanip>
#include <iostream>
 
//! Loading Nektar++ libraries
#include <LibUtilities/Memory/NekMemoryManager.hpp>
#include <MultiRegions/ContField.h>
#include <MultiRegions/ExpList.h>
#include <SpatialDomains/MeshGraph.h>
 
//! STL namespace
using namespace std;
 
//! Nektar++ namespace
using namespace Nektar;
 
//! Main
int main(int argc, char *argv[])
{
    //! Setting up the decimal precision to machine precision
    setprecision(16);
 
    //! Auxiliary counters for the x and y directions
    int i, j, numModes, nFields;
 
    //! Usage check
    if ((argc != 2) && (argc != 3))
    {
        fprintf(stderr,
                "Usage: ./FldAddFalknerSkanBL sessionFile [SysSolnType]\n");
        exit(1);
    }
 
    //! Reading the session file
    LibUtilities::SessionReaderSharedPtr vSession =
        LibUtilities::SessionReader::CreateInstance(argc, argv);
 
    //! Loading the parameters to define the BL
    NekDouble Re;
    NekDouble L;
    NekDouble U_inf;
    NekDouble x;
    NekDouble x_0;
    NekDouble nu;
    string BL_type;
    string txt_file;
    string stability_solver;
    int numLines;
 
    BL_type          = vSession->GetSolverInfo("BL_type");
    txt_file         = vSession->GetSolverInfo("txt_file");
    stability_solver = vSession->GetSolverInfo("stability_solver");
 
    if (stability_solver != "velocity_correction_scheme" &&
        stability_solver != "coupled_scheme")
    {
        fprintf(stderr, "Error: You must specify the stability solver in the "
                        "session file properly.\n");
        fprintf(stderr, "Options: 'velocity_correction_scheme' [output ===> "
                        "(u,v,p)]; 'coupled_scheme' [output ===>(u,v)]\n");
        exit(1);
    }
 
    vSession->LoadParameter("Re", Re, 1.0);
    vSession->LoadParameter("L", L, 1.0);
    vSession->LoadParameter("U_inf", U_inf, 1.0);
    vSession->LoadParameter("x", x, 1.0);
    vSession->LoadParameter("x_0", x_0, 1.0);
    vSession->LoadParameter("NumberLines_txt", numLines, 1.0);
 
    //! Check on the physical parameters
    if (x <= 0)
    {
        fprintf(stderr,
                "Error: x must be positive ===> CHECK the session file\n");
        exit(1);
    }
 
    if (x_0 < 0)
    {
        fprintf(stderr, "Error: x_0 must be positive or at least equal to 0 "
                        "===> CHECK the session file\n");
        exit(1);
    }
    std::cout << "\n==========================================================="
                 "==============\n";
    std::cout << "Falkner-Skan Boundary Layer Generation (version of July 12th "
                 "2012)\n";
    std::cout << "============================================================="
                 "============\n";
    std::cout << "*************************************************************"
                 "************\n";
    std::cout << "DATA FROM THE SESSION FILE:\n";
    std::cout << "Reynolds number                          = " << Re << "\t[-]"
              << std::endl;
    std::cout << "Characteristic length                    = " << L << "\t\t[m]"
              << std::endl;
    std::cout << "U_infinity                               = " << U_inf
              << "\t[m/s]" << std::endl;
    std::cout << "Position x (parallel case only)          = " << x << "\t\t[m]"
              << std::endl;
    std::cout << "Position x_0 to start the BL [m]         = " << x_0
              << "\t\t[m]" << std::endl;
    std::cout << "Number of lines of the .txt file         = " << numLines
              << "\t[-]" << std::endl;
    std::cout << "BL type                                  = " << BL_type
              << std::endl;
    std::cout << ".txt file read                           = " << txt_file
              << std::endl;
    std::cout << "Stability solver                         = "
              << stability_solver << std::endl;
    std::cout << "*************************************************************"
                 "************\n";
    std::cout << "-------------------------------------------------------------"
                 "------------\n";
    std::cout << "MESH and EXPANSION DATA:\n";
 
    //! Computation of the kinematic viscosity
    nu = U_inf * L / Re;
 
    //! Read in mesh from input file and create an object of class MeshGraph2D
    SpatialDomains::MeshGraphSharedPtr graphShPt;
    graphShPt = SpatialDomains::MeshGraph::Read(vSession);
 
    //!  Feed our spatial discretisation object
    MultiRegions::ContFieldSharedPtr Domain;
    Domain = MemoryManager<MultiRegions::ContField>::AllocateSharedPtr(
        vSession, graphShPt, vSession->GetVariable(0));
 
    //! Get the total number of elements
    int nElements;
    nElements = Domain->GetExpSize();
    std::cout << "Number of elements                 = " << nElements
              << std::endl;
 
    //! Get the total number of quadrature points (depends on n. modes)
    int nQuadraturePts;
    nQuadraturePts = Domain->GetTotPoints();
    std::cout << "Number of quadrature points        = " << nQuadraturePts
              << std::endl;
 
    //! Coordinates of the quadrature points
    Array<OneD, NekDouble> x_QuadraturePts;
    Array<OneD, NekDouble> y_QuadraturePts;
    Array<OneD, NekDouble> z_QuadraturePts;
    x_QuadraturePts = Array<OneD, NekDouble>(nQuadraturePts);
    y_QuadraturePts = Array<OneD, NekDouble>(nQuadraturePts);
    z_QuadraturePts = Array<OneD, NekDouble>(nQuadraturePts);
    Domain->GetCoords(x_QuadraturePts, y_QuadraturePts, z_QuadraturePts);
 
    //! Reading the .txt file with eta, f(eta) and f'(eta)
    //! -----------------------------------------
    const char *txt_file_char;
    // string txt_file(argv[argc-1]);
    txt_file_char = txt_file.c_str();
 
    //! Open the .txt file with the BL data
    ifstream pFile(txt_file_char);
    if (!pFile)
    {
        cout << "Errro: Unable to open the .txt file with the BL data\n";
        exit(1);
    }
 
    numLines = numLines / 3;
    NekDouble d;
    std::vector<std::vector<NekDouble>> GlobalArray(3);
 
    for (j = 0; j <= 2; j++)
    {
        GlobalArray[j].resize(numLines);
        for (i = 0; i <= numLines - 1; i++)
        {
            pFile >> d;
            GlobalArray[j][i] = d;
        }
    }
    //! --------------------------------------------------------------------------------------------
 
    //! Saving eta, f(eta) and f'(eta) into separate arrays
    //! ----------------------------------------
    Array<OneD, NekDouble> eta;
    Array<OneD, NekDouble> f;
    Array<OneD, NekDouble> df;
 
    eta = Array<OneD, NekDouble>(numLines);
    f   = Array<OneD, NekDouble>(numLines);
    df  = Array<OneD, NekDouble>(numLines);
 
    for (i = 0; i < numLines; i++)
    {
        eta[i] = GlobalArray[0][i];
        f[i]   = GlobalArray[1][i];
        df[i]  = GlobalArray[2][i];
    }
    //! --------------------------------------------------------------------------------------------
 
    //! Inizialisation of the arrays for computations on the Quadrature points
    //! ---------------------
    Array<OneD, NekDouble> eta_QuadraturePts;
    eta_QuadraturePts = Array<OneD, NekDouble>(nQuadraturePts);
 
    Array<OneD, NekDouble> f_QuadraturePts;
    f_QuadraturePts = Array<OneD, NekDouble>(nQuadraturePts);
 
    Array<OneD, NekDouble> df_QuadraturePts;
    df_QuadraturePts = Array<OneD, NekDouble>(nQuadraturePts);
 
    Array<OneD, NekDouble> u_QuadraturePts;
    u_QuadraturePts = Array<OneD, NekDouble>(nQuadraturePts);
 
    Array<OneD, NekDouble> v_QuadraturePts;
    v_QuadraturePts = Array<OneD, NekDouble>(nQuadraturePts);
 
    Array<OneD, NekDouble> p_QuadraturePts;
    p_QuadraturePts = Array<OneD, NekDouble>(nQuadraturePts);
    //! --------------------------------------------------------------------------------------------
 
    //! PARALLEL CASE
    //! ------------------------------------------------------------------------------
    if (BL_type == "Parallel")
    {
        for (i = 0; i < nQuadraturePts; i++)
        {
            eta_QuadraturePts[i] =
                y_QuadraturePts[i] * sqrt(U_inf / (2 * x * nu));
            for (j = 0; j < numLines - 1; j++)
            {
                if (eta_QuadraturePts[i] >= eta[j] &&
                    eta_QuadraturePts[i] <= eta[j + 1])
                {
                    f_QuadraturePts[i] = (eta_QuadraturePts[i] - eta[j]) *
                                             (f[j + 1] - f[j]) /
                                             (eta[j + 1] - eta[j]) +
                                         f[j];
                    df_QuadraturePts[i] = (eta_QuadraturePts[i] - eta[j]) *
                                              (df[j + 1] - df[j]) /
                                              (eta[j + 1] - eta[j]) +
                                          df[j];
                }
 
                else if (eta_QuadraturePts[i] == 1000000)
                {
                    f_QuadraturePts[i]  = f[numLines - 1];
                    df_QuadraturePts[i] = df[numLines - 1];
                }
 
                else if (eta_QuadraturePts[i] > eta[numLines - 1])
                {
                    f_QuadraturePts[i] =
                        f[numLines - 1] +
                        df[numLines - 1] *
                            (eta_QuadraturePts[i] - eta[numLines - 1]);
                    df_QuadraturePts[i] = df[numLines - 1];
                }
            }
 
            u_QuadraturePts[i] = U_inf * df_QuadraturePts[i];
            v_QuadraturePts[i] =
                nu * sqrt(U_inf / (2.0 * nu * x)) *
                (y_QuadraturePts[i] * sqrt(U_inf / (2.0 * nu * x)) *
                     df_QuadraturePts[i] -
                 f_QuadraturePts[i]);
            p_QuadraturePts[i] = 0.0;
        }
    }
    //! --------------------------------------------------------------------------------------------
 
    //! NON-PARALLEL CASE
    //! --------------------------------------------------------------------------
    if (BL_type == "nonParallel")
    {
        for (i = 0; i < nQuadraturePts; i++)
        {
            eta_QuadraturePts[i] =
                y_QuadraturePts[i] *
                sqrt(U_inf / (2 * (x_QuadraturePts[i] + x_0) * nu));
 
            if ((x_QuadraturePts[i] + x_0) == 0)
            {
                eta_QuadraturePts[i] = 1000000;
            }
 
            for (j = 0; j < numLines - 1; j++)
            {
                if (eta_QuadraturePts[i] >= eta[j] &&
                    eta_QuadraturePts[i] <= eta[j + 1])
                {
                    f_QuadraturePts[i] = (eta_QuadraturePts[i] - eta[j]) *
                                             (f[j + 1] - f[j]) /
                                             (eta[j + 1] - eta[j]) +
                                         f[j];
                    df_QuadraturePts[i] = (eta_QuadraturePts[i] - eta[j]) *
                                              (df[j + 1] - df[j]) /
                                              (eta[j + 1] - eta[j]) +
                                          df[j];
                }
 
                else if (eta_QuadraturePts[i] == 1000000)
                {
                    f_QuadraturePts[i]  = f[numLines - 1];
                    df_QuadraturePts[i] = df[numLines - 1];
                }
 
                else if (eta_QuadraturePts[i] > eta[numLines - 1])
                {
                    f_QuadraturePts[i] =
                        f[numLines - 1] +
                        df[numLines - 1] *
                            (eta_QuadraturePts[i] - eta[numLines - 1]);
                    df_QuadraturePts[i] = df[numLines - 1];
                }
            }
 
            u_QuadraturePts[i] = U_inf * df_QuadraturePts[i];
            v_QuadraturePts[i] =
                nu * sqrt(U_inf / (2.0 * nu * (x_QuadraturePts[i] + x_0))) *
                (y_QuadraturePts[i] *
                     sqrt(U_inf / (2.0 * nu * (x_QuadraturePts[i] + x_0))) *
                     df_QuadraturePts[i] -
                 f_QuadraturePts[i]);
 
            //! INFLOW SECTION: X = 0; Y > 0.
            if ((x_QuadraturePts[i] + x_0) == 0)
            {
                u_QuadraturePts[i] = U_inf;
                v_QuadraturePts[i] = 0.0;
            }
 
            //! SINGULARITY POINT: X = 0; Y = 0.
            if ((x_QuadraturePts[i] + x_0) == 0 && y_QuadraturePts[i] == 0)
            {
                u_QuadraturePts[i] = 0.0;
                v_QuadraturePts[i] = 0.0;
            }
 
            p_QuadraturePts[i] = 0.0;
        }
    }
    //! --------------------------------------------------------------------------------------------
 
    //! Inspection of the interpolation
    //! ------------------------------------------------------------
    FILE *etaOriginal;
    etaOriginal = fopen("eta.txt", "w+");
    for (i = 0; i < numLines; i++)
    {
        fprintf(etaOriginal, "%f %f %f \n", eta[i], f[i], df[i]);
    }
    fclose(etaOriginal);
 
    FILE *yQ;
    yQ = fopen("yQ.txt", "w+");
    for (i = 0; i < nQuadraturePts; i++)
    {
        fprintf(yQ, "%f %f %f %f %f %f %f\n", x_QuadraturePts[i],
                y_QuadraturePts[i], u_QuadraturePts[i], v_QuadraturePts[i],
                eta_QuadraturePts[i], f_QuadraturePts[i], df_QuadraturePts[i]);
    }
    fclose(yQ);
    //! -----------------------------------------------------------------------------------
 
    //! Definition of the 2D expansion using the mesh data specified on the
    //! session file --
    MultiRegions::ExpListSharedPtr Exp2D_uk;
    Exp2D_uk = MemoryManager<MultiRegions::ExpList>::AllocateSharedPtr(
        vSession, graphShPt);
 
    MultiRegions::ExpListSharedPtr Exp2D_vk;
    Exp2D_vk = MemoryManager<MultiRegions::ExpList>::AllocateSharedPtr(
        vSession, graphShPt);
 
    MultiRegions::ExpListSharedPtr Exp2D_pk;
    Exp2D_pk = MemoryManager<MultiRegions::ExpList>::AllocateSharedPtr(
        vSession, graphShPt);
    //! -----------------------------------------------------------------------------------
 
    //! Filling the 2D expansion using a recursive algorithm based on the mesh
    //! ordering ------------
    LibUtilities::BasisSharedPtr Basis;
    Basis    = Domain->GetExp(0)->GetBasis(0);
    numModes = Basis->GetNumModes();
 
    std::cout << "Number of modes                    = " << numModes
              << std::endl;
 
    //! Copying the ukGlobal vector (with the same pattern of m_phys) in m_phys
    Vmath::Vcopy(nQuadraturePts, u_QuadraturePts, 1, Exp2D_uk->UpdatePhys(), 1);
    Vmath::Vcopy(nQuadraturePts, v_QuadraturePts, 1, Exp2D_vk->UpdatePhys(), 1);
    Vmath::Vcopy(nQuadraturePts, p_QuadraturePts, 1, Exp2D_pk->UpdatePhys(), 1);
 
    //! Initialisation of the ExpList Exp
    Array<OneD, MultiRegions::ExpListSharedPtr> Exp(3);
    Exp[0] = Exp2D_uk;
    Exp[1] = Exp2D_vk;
 
    if (stability_solver == "velocity_correction_scheme")
        Exp[2] = Exp2D_pk;
 
    //! Expansion coefficient extraction (necessary to write the .fld file)
    Exp[0]->FwdTrans(Exp2D_uk->GetPhys(), Exp[0]->UpdateCoeffs());
    Exp[1]->FwdTrans(Exp2D_vk->GetPhys(), Exp[1]->UpdateCoeffs());
 
    if (stability_solver == "velocity_correction_scheme")
        Exp[2]->FwdTrans(Exp2D_pk->GetPhys(), Exp[2]->UpdateCoeffs());
    //! --------------------------------------------------------------------------------------------
 
    //! Generation .FLD file with one field only (at the moment)
    //! ----------------------------------- Definition of the name of the .fld
    //! file
    string FalknerSkan = "FalknerSkan.fld";
 
    //! Definition of the number of the fields
    if (stability_solver == "coupled_scheme")
        nFields = 2;
 
    if (stability_solver == "velocity_correction_scheme")
        nFields = 3;
 
    //! Definition of the Field
    std::vector<LibUtilities::FieldDefinitionsSharedPtr> FieldDef =
        Exp[0]->GetFieldDefinitions();
    std::vector<std::vector<NekDouble>> FieldData(FieldDef.size());
 
    for (j = 0; j < nFields; ++j)
    {
        for (i = 0; i < FieldDef.size(); ++i)
        {
            if (j == 0)
            {
                FieldDef[i]->m_fields.push_back("u");
            }
            else if (j == 1)
            {
                FieldDef[i]->m_fields.push_back("v");
            }
            else if (j == 2 && stability_solver == "velocity_correction_scheme")
            {
                FieldDef[i]->m_fields.push_back("p");
            }
            Exp[j]->AppendFieldData(FieldDef[i], FieldData[i]);
        }
    }
 
    LibUtilities::Write(FalknerSkan, FieldDef, FieldData);
 
    std::cout << "-------------------------------------------------------------"
                 "------\n";
    //! ----------------------------------------------------------------------------
 
    return 0;
}