397 lines
10 KiB
C
397 lines
10 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 | www.openfoam.com
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\\/ M anipulation |
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-------------------------------------------------------------------------------
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Copyright (C) 2011-2017 OpenFOAM Foundation
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Copyright (C) 2015-2017 OpenCFD Ltd.
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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 "fieldAverage.H"
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#include "volFields.H"
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#include "fieldAverageItem.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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namespace functionObjects
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{
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defineTypeNameAndDebug(fieldAverage, 0);
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addToRunTimeSelectionTable(functionObject, fieldAverage, dictionary);
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}
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}
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// * * * * * * * * * * * * Protected Member Functions * * * * * * * * * * * //
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void Foam::functionObjects::fieldAverage::initialize()
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{
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for (fieldAverageItem& item : faItems_)
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{
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// Note: not clearing data needed for restart
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item.clear(obr(), false);
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}
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Log << type() << " " << name() << ":" << nl;
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// Add mean fields to the field lists
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for (fieldAverageItem& item : faItems_)
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{
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addMeanField<scalar>(item);
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addMeanField<vector>(item);
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addMeanField<sphericalTensor>(item);
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addMeanField<symmTensor>(item);
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addMeanField<tensor>(item);
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}
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// Add prime-squared mean fields to the field lists
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for (fieldAverageItem& item : faItems_)
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{
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addPrime2MeanField<scalar, scalar>(item);
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addPrime2MeanField<vector, symmTensor>(item);
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}
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// Add window fields to the field lists
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for (const fieldAverageItem& item : faItems_)
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{
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restoreWindowFields<scalar>(item);
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restoreWindowFields<vector>(item);
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restoreWindowFields<sphericalTensor>(item);
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restoreWindowFields<symmTensor>(item);
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restoreWindowFields<tensor>(item);
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}
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for (const fieldAverageItem& item : faItems_)
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{
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if (!item.active())
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{
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WarningInFunction
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<< "Field " << item.fieldName()
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<< " not found in database for averaging";
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}
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}
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// Ensure first averaging works unconditionally
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prevTimeIndex_ = -1;
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Log << endl;
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initialised_ = true;
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}
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void Foam::functionObjects::fieldAverage::restart()
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{
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Log << " Restarting averaging at time "
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<< obr().time().timeOutputValue()
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<< nl << endl;
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for (fieldAverageItem& item : faItems_)
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{
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item.clear(obr(), true);
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}
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initialize();
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}
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void Foam::functionObjects::fieldAverage::calcAverages()
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{
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if (!initialised_)
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{
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initialize();
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}
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const label currentTimeIndex = obr().time().timeIndex();
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const scalar currentTime = obr().time().value();
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if (prevTimeIndex_ == currentTimeIndex)
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{
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return;
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}
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else
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{
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prevTimeIndex_ = currentTimeIndex;
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}
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bool doRestart = false;
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if (periodicRestart_)
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{
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const scalar deltaT = obr().time().deltaTValue();
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const scalar nextTime = restartPeriod_*periodIndex_ + 0.5*deltaT;
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if (currentTime > nextTime)
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{
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doRestart = true;
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++periodIndex_;
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}
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}
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if (currentTime >= restartTime_)
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{
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doRestart = true; // Restart is overdue.
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restartTime_ = GREAT; // Avoid triggering again
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}
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if (doRestart)
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{
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restart();
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}
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Log << type() << " " << name() << " write:" << nl
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<< " Calculating averages" << nl;
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forAll(faItems_, fieldi)
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{
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faItems_[fieldi].evolve(obr());
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}
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storeWindowFields<scalar>();
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storeWindowFields<vector>();
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storeWindowFields<sphericalTensor>();
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storeWindowFields<symmTensor>();
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storeWindowFields<tensor>();
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addMeanSqrToPrime2Mean<scalar, scalar>();
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addMeanSqrToPrime2Mean<vector, symmTensor>();
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calculateMeanFields<scalar>();
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calculateMeanFields<vector>();
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calculateMeanFields<sphericalTensor>();
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calculateMeanFields<symmTensor>();
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calculateMeanFields<tensor>();
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calculatePrime2MeanFields<scalar, scalar>();
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calculatePrime2MeanFields<vector, symmTensor>();
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Log << endl;
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}
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void Foam::functionObjects::fieldAverage::writeAverages() const
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{
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Log << " Writing average fields" << endl;
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writeFields<scalar>();
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writeFields<vector>();
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writeFields<sphericalTensor>();
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writeFields<symmTensor>();
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writeFields<tensor>();
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Log << endl;
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}
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void Foam::functionObjects::fieldAverage::writeAveragingProperties()
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{
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for (const fieldAverageItem& item : faItems_)
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{
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dictionary propsDict;
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item.writeState(propsDict);
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setProperty(item.fieldName(), propsDict);
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}
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}
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void Foam::functionObjects::fieldAverage::readAveragingProperties()
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{
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if (restartOnRestart_ || restartOnOutput_)
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{
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Info<< " Starting averaging at time "
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<< obr().time().timeOutputValue()
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<< nl;
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}
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else
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{
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Info<< " Restarting averaging for fields:" << nl;
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for (fieldAverageItem& item : faItems_)
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{
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const word& fieldName = item.fieldName();
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if (foundProperty(fieldName))
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{
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dictionary fieldDict;
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getDict(fieldName, fieldDict);
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item.readState(fieldDict);
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if (item.allowRestart())
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{
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scalar userTotalTime =
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obr().time().timeToUserTime(item.totalTime());
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Info<< " " << fieldName
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<< ": iters = " << item.totalIter()
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<< " time = " << userTotalTime << nl;
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}
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else
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{
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item.clear(obr(), true);
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Info<< " " << fieldName
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<< ": starting averaging at time "
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<< obr().time().timeOutputValue() << endl;
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}
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}
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else
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{
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Info<< " " << fieldName
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<< ": starting averaging at time "
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<< obr().time().timeOutputValue() << endl;
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}
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}
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}
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}
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// * * * * * * * * * * * * * * * * Constructors * * * * * * * * * * * * * * //
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Foam::functionObjects::fieldAverage::fieldAverage
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(
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const word& name,
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const Time& runTime,
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const dictionary& dict
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)
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:
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fvMeshFunctionObject(name, runTime, dict),
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prevTimeIndex_(-1),
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initialised_(false),
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restartOnRestart_(false),
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restartOnOutput_(false),
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periodicRestart_(false),
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restartPeriod_(GREAT),
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restartTime_(GREAT),
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faItems_(),
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periodIndex_(1)
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{
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read(dict);
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}
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// * * * * * * * * * * * * * * * Member Functions * * * * * * * * * * * * * //
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bool Foam::functionObjects::fieldAverage::read(const dictionary& dict)
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{
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fvMeshFunctionObject::read(dict);
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// Make certain that the values are consistent with the defaults:
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initialised_ = false;
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restartOnRestart_ = false;
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restartOnOutput_ = false;
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periodicRestart_ = false;
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restartPeriod_ = GREAT;
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restartTime_ = GREAT;
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Info<< type() << " " << name() << ":" << nl;
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dict.readIfPresent("restartOnRestart", restartOnRestart_);
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dict.readIfPresent("restartOnOutput", restartOnOutput_);
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dict.readIfPresent("periodicRestart", periodicRestart_);
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dict.readEntry("fields", faItems_);
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for (auto& item : faItems_)
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{
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item.setMeanFieldName(scopedName(item.meanFieldName()));
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item.setPrime2MeanFieldName(scopedName(item.prime2MeanFieldName()));
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}
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const scalar currentTime = obr().time().value();
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if (periodicRestart_)
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{
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scalar userRestartPeriod = dict.get<scalar>("restartPeriod");
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restartPeriod_ = obr().time().userTimeToTime(userRestartPeriod);
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if (restartPeriod_ > 0)
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{
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// Determine the appropriate interval for the next restart
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periodIndex_ = 1;
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while (currentTime > restartPeriod_*periodIndex_)
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{
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++periodIndex_;
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}
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Info<< " Restart period " << userRestartPeriod
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<< " - next restart at " << (userRestartPeriod*periodIndex_)
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<< nl << endl;
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}
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else
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{
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periodicRestart_ = false;
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Info<< " Restart period " << userRestartPeriod
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<< " - ignored"
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<< nl << endl;
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}
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}
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scalar userRestartTime = 0;
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if (dict.readIfPresent("restartTime", userRestartTime))
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{
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restartTime_ = obr().time().userTimeToTime(userRestartTime);
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if (currentTime > restartTime_)
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{
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// The restart time is already in the past - ignore
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restartTime_ = GREAT;
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}
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else
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{
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Info<< " Restart scheduled at time " << userRestartTime
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<< nl << endl;
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}
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}
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readAveragingProperties();
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Info<< endl;
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return true;
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}
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bool Foam::functionObjects::fieldAverage::execute()
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{
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calcAverages();
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return true;
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}
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bool Foam::functionObjects::fieldAverage::write()
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{
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writeAverages();
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writeAveragingProperties();
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if (restartOnOutput_)
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{
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restart();
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}
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return true;
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}
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// ************************************************************************* //
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