/*---------------------------------------------------------------------------*\
  =========                 |
  \\      /  F ield         | OpenFOAM: The Open Source CFD Toolbox
   \\    /   O peration     |
    \\  /    A nd           | www.openfoam.com
     \\/     M anipulation  |
-------------------------------------------------------------------------------
    Copyright (C) 2011-2020 OpenFOAM Foundation
-------------------------------------------------------------------------------
License
    This file is part of OpenFOAM.

    OpenFOAM is free software: you can redistribute it and/or modify it
    under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.

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    ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
    FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
    for more details.

    You should have received a copy of the GNU General Public License
    along with OpenFOAM.  If not, see <http://www.gnu.org/licenses/>.

\*---------------------------------------------------------------------------*/

#include "RosinRammler.H"
#include "addToRunTimeSelectionTable.H"

// * * * * * * * * * * * * * * Static Data Members * * * * * * * * * * * * * //

namespace Foam
{
namespace distributionModels
{
    defineTypeNameAndDebug(RosinRammler, 0);
    addToRunTimeSelectionTable(distributionModel, RosinRammler, dictionary);
}
}

// * * * * * * * * * * * * * * * * Constructors  * * * * * * * * * * * * * * //

Foam::distributionModels::RosinRammler::RosinRammler
(
    const dictionary& dict,
    Random& rndGen
)
:
    distributionModel(typeName, dict, rndGen),
    minValue_(distributionModelDict_.get<scalar>("minValue")),
    maxValue_(distributionModelDict_.get<scalar>("maxValue")),
    d_(distributionModelDict_.get<scalar>("d")),
    n_(distributionModelDict_.get<scalar>("n"))
{
    check();
}


Foam::distributionModels::RosinRammler::RosinRammler(const RosinRammler& p)
:
    distributionModel(p),
    minValue_(p.minValue_),
    maxValue_(p.maxValue_),
    d_(p.d_),
    n_(p.n_)
{}


// * * * * * * * * * * * * * * * * Destructor  * * * * * * * * * * * * * * * //

Foam::distributionModels::RosinRammler::~RosinRammler()
{}


// * * * * * * * * * * * * * * * Member Functions  * * * * * * * * * * * * * //

Foam::scalar Foam::distributionModels::RosinRammler::sample() const
{
    const scalar minValueByDPowN = pow(minValue_/d_, n_);
    const scalar K = 1 - exp(- pow(maxValue_/d_, n_) + minValueByDPowN);
    const scalar y = rndGen_.sample01<scalar>();
    return d_*pow(minValueByDPowN - log(1 - K*y), 1/n_);
}


Foam::scalar Foam::distributionModels::RosinRammler::minValue() const
{
    return minValue_;
}


Foam::scalar Foam::distributionModels::RosinRammler::maxValue() const
{
    return maxValue_;
}


Foam::scalar Foam::distributionModels::RosinRammler::meanValue() const
{
    return d_;
}


// ************************************************************************* //
