fieldAverage.C

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/*---------------------------------------------------------------------------*\
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  \\      /  F ield         | OpenFOAM: The Open Source CFD Toolbox
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     \\/     M anipulation  |
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    Copyright (C) 2011-2017 OpenFOAM Foundation
    Copyright (C) 2015-2017 OpenCFD Ltd.
-------------------------------------------------------------------------------
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.
 
    OpenFOAM 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 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 "fieldAverage.H"
#include "volFields.H"
#include "fieldAverageItem.H"
#include "addToRunTimeSelectionTable.H"
 
// * * * * * * * * * * * * * * Static Data Members * * * * * * * * * * * * * //
 
namespace Foam
{
namespace functionObjects
{
    defineTypeNameAndDebug(fieldAverage, 0);
    addToRunTimeSelectionTable(functionObject, fieldAverage, dictionary);
}
}
 
 
// * * * * * * * * * * * * Protected Member Functions  * * * * * * * * * * * //
 
void Foam::functionObjects::fieldAverage::initialize()
{
    for (fieldAverageItem& item : faItems_)
    {
        // Note: not clearing data needed for restart
        item.clear(obr(), false);
    }
 
    Log << type() << " " << name() << ":" << nl;
 
    // Add mean fields to the field lists
    for (fieldAverageItem& item : faItems_)
    {
        addMeanField<scalar>(item);
        addMeanField<vector>(item);
        addMeanField<sphericalTensor>(item);
        addMeanField<symmTensor>(item);
        addMeanField<tensor>(item);
    }
 
    // Add prime-squared mean fields to the field lists
    for (fieldAverageItem& item : faItems_)
    {
        addPrime2MeanField<scalar, scalar>(item);
        addPrime2MeanField<vector, symmTensor>(item);
    }
 
    // Add window fields to the field lists
    for (const fieldAverageItem& item : faItems_)
    {
        restoreWindowFields<scalar>(item);
        restoreWindowFields<vector>(item);
        restoreWindowFields<sphericalTensor>(item);
        restoreWindowFields<symmTensor>(item);
        restoreWindowFields<tensor>(item);
    }
 
 
    for (const fieldAverageItem& item : faItems_)
    {
        if (!item.active())
        {
            WarningInFunction
                << "Field " << item.fieldName()
                << " not found in database for averaging";
        }
    }
 
    // Ensure first averaging works unconditionally
    prevTimeIndex_ = -1;
 
    Log << endl;
    initialised_ = true;
}
 
 
void Foam::functionObjects::fieldAverage::restart()
{
    Log << "    Restarting averaging at time "
        << obr().time().timeOutputValue()
        << nl << endl;
 
    for (fieldAverageItem& item : faItems_)
    {
        item.clear(obr(), true);
    }
 
    initialize();
}
 
 
void Foam::functionObjects::fieldAverage::calcAverages()
{
    if (!initialised_)
    {
        initialize();
    }
 
    const label currentTimeIndex = obr().time().timeIndex();
    const scalar currentTime = obr().time().value();
 
    if (prevTimeIndex_ == currentTimeIndex)
    {
        return;
    }
    else
    {
        prevTimeIndex_ = currentTimeIndex;
    }
 
    bool doRestart = false;
    if (periodicRestart_ && currentTime > restartPeriod_*periodIndex_)
    {
        doRestart = true;
        periodIndex_++;
    }
 
    if (currentTime >= restartTime_)
    {
        doRestart = true;      // Restart is overdue.
        restartTime_ = GREAT;  // Avoid triggering again
    }
 
    if (doRestart)
    {
        restart();
    }
 
    Log << type() << " " << name() << " write:" << nl
        << "    Calculating averages" << nl;
 
    forAll(faItems_, fieldi)
    {
        faItems_[fieldi].evolve(obr());
    }
 
    storeWindowFields<scalar>();
    storeWindowFields<vector>();
    storeWindowFields<sphericalTensor>();
    storeWindowFields<symmTensor>();
    storeWindowFields<tensor>();
 
    addMeanSqrToPrime2Mean<scalar, scalar>();
    addMeanSqrToPrime2Mean<vector, symmTensor>();
 
    calculateMeanFields<scalar>();
    calculateMeanFields<vector>();
    calculateMeanFields<sphericalTensor>();
    calculateMeanFields<symmTensor>();
    calculateMeanFields<tensor>();
 
    calculatePrime2MeanFields<scalar, scalar>();
    calculatePrime2MeanFields<vector, symmTensor>();
 
    Log << endl;
}
 
 
void Foam::functionObjects::fieldAverage::writeAverages() const
{
    Log << "    Writing average fields" << endl;
 
    writeFields<scalar>();
    writeFields<vector>();
    writeFields<sphericalTensor>();
    writeFields<symmTensor>();
    writeFields<tensor>();
 
    Log << endl;
}
 
 
void Foam::functionObjects::fieldAverage::writeAveragingProperties()
{
    for (const fieldAverageItem& item : faItems_)
    {
        dictionary propsDict;
        item.writeState(propsDict);
        setProperty(item.fieldName(), propsDict);
    }
}
 
 
void Foam::functionObjects::fieldAverage::readAveragingProperties()
{
    if (restartOnRestart_ || restartOnOutput_)
    {
        Info<< "    Starting averaging at time "
            << obr().time().timeOutputValue()
            << nl;
    }
    else
    {
        Info<< "    Restarting averaging for fields:" << nl;
 
 
        for (fieldAverageItem& item : faItems_)
        {
            const word& fieldName = item.fieldName();
            if (foundProperty(fieldName))
            {
                dictionary fieldDict;
                getDict(fieldName, fieldDict);
                item.readState(fieldDict);
 
                if (item.allowRestart())
                {
                    scalar userTotalTime =
                        obr().time().timeToUserTime(item.totalTime());
 
                    Info<< "        " << fieldName
                        << ": iters = " << item.totalIter()
                        << " time = " << userTotalTime << nl;
                }
                else
                {
                    item.clear(obr(), true);
 
                    Info<< "        " << fieldName
                        << ": starting averaging at time "
                        << obr().time().timeOutputValue() << endl;
                }
            }
            else
            {
                Info<< "        " << fieldName
                    << ": starting averaging at time "
                    << obr().time().timeOutputValue() << endl;
            }
        }
    }
}
 
 
// * * * * * * * * * * * * * * * * Constructors  * * * * * * * * * * * * * * //
 
Foam::functionObjects::fieldAverage::fieldAverage
(
    const word& name,
    const Time& runTime,
    const dictionary& dict
)
:
    fvMeshFunctionObject(name, runTime, dict),
    prevTimeIndex_(-1),
    initialised_(false),
    restartOnRestart_(false),
    restartOnOutput_(false),
    periodicRestart_(false),
    restartPeriod_(GREAT),
    restartTime_(GREAT),
    faItems_(),
    periodIndex_(1)
{
    read(dict);
}
 
 
// * * * * * * * * * * * * * * * Member Functions  * * * * * * * * * * * * * //
 
bool Foam::functionObjects::fieldAverage::read(const dictionary& dict)
{
    fvMeshFunctionObject::read(dict);
 
    // Make certain that the values are consistent with the defaults:
    initialised_ = false;
    restartOnRestart_ = false;
    restartOnOutput_ = false;
    periodicRestart_ = false;
    restartPeriod_ = GREAT;
    restartTime_ = GREAT;
 
    Info<< type() << " " << name() << ":" << nl;
 
    dict.readIfPresent("restartOnRestart", restartOnRestart_);
    dict.readIfPresent("restartOnOutput",  restartOnOutput_);
    dict.readIfPresent("periodicRestart",  periodicRestart_);
    dict.readEntry("fields", faItems_);
 
    const scalar currentTime = obr().time().value();
 
    if (periodicRestart_)
    {
        scalar userRestartPeriod = dict.get<scalar>("restartPeriod");
        restartPeriod_ = obr().time().userTimeToTime(userRestartPeriod);
 
        if (restartPeriod_ > 0)
        {
            // Determine the appropriate interval for the next restart
            periodIndex_ = 1;
            while (currentTime > restartPeriod_*periodIndex_)
            {
                ++periodIndex_;
            }
 
            Info<< "    Restart period " << userRestartPeriod
                << " - next restart at " << (userRestartPeriod*periodIndex_)
                << nl << endl;
        }
        else
        {
            periodicRestart_ = false;
 
            Info<< "    Restart period " << userRestartPeriod
                << " - ignored"
                << nl << endl;
        }
    }
 
    scalar userRestartTime = 0;
    if (dict.readIfPresent("restartTime", userRestartTime))
    {
        restartTime_ = obr().time().userTimeToTime(userRestartTime);
 
        if (currentTime > restartTime_)
        {
            // The restart time is already in the past - ignore
            restartTime_ = GREAT;
        }
        else
        {
            Info<< "    Restart scheduled at time " << userRestartTime
                << nl << endl;
        }
    }
 
    readAveragingProperties();
 
    Info<< endl;
 
    return true;
}
 
 
bool Foam::functionObjects::fieldAverage::execute()
{
    calcAverages();
 
    return true;
}
 
 
bool Foam::functionObjects::fieldAverage::write()
{
    writeAverages();
    writeAveragingProperties();
 
    if (restartOnOutput_)
    {
        restart();
    }
 
    return true;
}
 
 
// ************************************************************************* //