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109 lines
2.9 KiB
C
109 lines
2.9 KiB
C
/*---------------------------------------------------------------------------*\
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========= |
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\\ / F ield | OpenFOAM: The Open Source CFD Toolbox
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\\ / O peration |
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\\ / A nd | Copyright (C) 2019 OpenCFD Ltd.
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\\/ M anipulation |
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-------------------------------------------------------------------------------
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| Copyright (C) 2013-2016 OpenFOAM Foundation
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-------------------------------------------------------------------------------
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License
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This file is part of OpenFOAM.
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OpenFOAM is free software: you can redistribute it and/or modify it
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under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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OpenFOAM is distributed in the hope that it will be useful, but WITHOUT
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ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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for more details.
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You should have received a copy of the GNU General Public License
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along with OpenFOAM. If not, see <http://www.gnu.org/licenses/>.
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\*---------------------------------------------------------------------------*/
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#include "Trapezoid.H"
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#include "addToRunTimeSelectionTable.H"
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// * * * * * * * * * * * * * * Static Data Members * * * * * * * * * * * * * //
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namespace Foam
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{
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defineTypeNameAndDebug(Trapezoid, 0);
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addToRunTimeSelectionTable(ODESolver, Trapezoid, dictionary);
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}
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// * * * * * * * * * * * * * * * * Constructors * * * * * * * * * * * * * * //
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Foam::Trapezoid::Trapezoid(const ODESystem& ode, const dictionary& dict)
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:
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ODESolver(ode, dict),
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adaptiveSolver(ode, dict),
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err_(n_)
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{}
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// * * * * * * * * * * * * * * * Member Functions * * * * * * * * * * * * * //
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bool Foam::Trapezoid::resize()
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{
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if (ODESolver::resize())
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{
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adaptiveSolver::resize(n_);
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resizeField(err_);
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return true;
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}
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return false;
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}
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Foam::scalar Foam::Trapezoid::solve
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(
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const scalar x0,
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const scalarField& y0,
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const scalarField& dydx0,
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const scalar dx,
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scalarField& y
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) const
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{
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// Predict the state using 1st-order Trapezoid method
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forAll(y, i)
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{
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y[i] = y0[i] + dx*dydx0[i];
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}
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// Evaluate the system for the predicted state
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odes_.derivatives(x0 + dx, y, err_);
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// Update the state as the average between the prediction and the correction
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// and estimate the error from the difference
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forAll(y, i)
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{
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y[i] = y0[i] + 0.5*dx*(dydx0[i] + err_[i]);
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err_[i] = 0.5*dx*(err_[i] - dydx0[i]);
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}
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return normalizeError(y0, y, err_);
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}
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void Foam::Trapezoid::solve
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(
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scalar& x,
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scalarField& y,
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scalar& dxTry
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) const
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{
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adaptiveSolver::solve(odes_, x, y, dxTry);
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}
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// ************************************************************************* //
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