valueAverageBaseTemplates.C

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    Copyright (C) 2015-2022 OpenCFD Ltd.
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// * * * * * * * * * * * * * Protected Member Functions  * * * * * * * * * * //
 
template<class Type, class Type2>
bool Foam::functionObjects::valueAverageBase::calc
(
    const label fieldi,
    bool& converged,
    dictionary& dict
)
{
    const word& fieldName = fieldNames_[fieldi];
 
    const word valueType =
        state_.objectResultType(functionObjectName_, fieldName);
 
    if (pTraits<Type>::typeName != valueType)
    {
        return false;
    }
 
    const scalar dt = state_.time().deltaTValue();
 
    const Type2 currentValue =
        state_.getObjectResult<Type>(functionObjectName_, fieldName);
 
    // Current mean value
    const word meanName(fieldName + "Mean");
    Type2 meanValue = state_.getResult<Type2>(meanName);
 
    switch (windowType_)
    {
        case windowType::NONE:
        {
            const scalar Dt = totalTime_[fieldi];
            const scalar beta = dt/Dt;
            meanValue = (1 - beta)*meanValue + beta*currentValue;
 
            break;
        }
        case windowType::APPROXIMATE:
        {
            const scalar Dt = totalTime_[fieldi];
            scalar beta = dt/Dt;
            if (Dt - dt >= window_)
            {
                beta = dt/window_;
            }
            else
            {
                converged = false;
            }
 
            meanValue = (1 - beta)*meanValue + beta*currentValue;
 
            break;
        }
        case windowType::EXACT:
        {
            FIFOStack<scalar> windowTimes;
            FIFOStack<Type2> windowValues;
            dictionary& fieldDict = dict.subDict(fieldName);
            fieldDict.readIfPresent("windowTimes", windowTimes);
            fieldDict.readIfPresent("windowValues", windowValues);
 
            // Increment time for all existing values
            for (scalar& dti : windowTimes)
            {
                dti += dt;
            }
 
            // Remove any values outside the window
            bool removeValue = true;
            while (removeValue && windowTimes.size())
            {
                removeValue = windowTimes.first() > window_;
 
                if (removeValue)
                {
                    windowTimes.pop();
                    windowValues.pop();
                }
            }
 
            // Add the current value
            windowTimes.push(dt);
            windowValues.push(currentValue);
 
            // Calculate the window average
            auto timeIter = windowTimes.cbegin();
            auto valueIter = windowValues.cbegin();
 
            meanValue = Zero;
            Type2 valueOld(Zero);
 
            for
            (
                label i = 0;
                timeIter.good();
                ++i, ++timeIter, ++valueIter
            )
            {
                const Type2& value = valueIter();
                const scalar dt = timeIter();
 
                meanValue += dt*value;
 
                if (i)
                {
                    meanValue -= dt*valueOld;
                }
 
                valueOld = value;
            }
 
            meanValue /= windowTimes.first();
 
            // Store the state information for the next step
            fieldDict.set("windowTimes", windowTimes);
            fieldDict.set("windowValues", windowValues);
 
            break;
        }
    }
 
    scalar delta = mag(meanValue - currentValue);
 
    Log << indent << "    " << meanName << ": " << meanValue
        << ", delta: " << delta << nl;
 
    file() << tab << meanValue;
 
    state_.setResult(meanName, meanValue);
 
    if ((tolerance_ > 0) && (delta > tolerance_))
    {
        converged = false;
    }
 
    return true;
}
 
 
// ************************************************************************* //