public bool TryNewClustering(double dt)
{
bool reclustered = false;
if (ABevolver[0].HistoryChangeRate.Count >= order - 1)
{
if (adaptive)
{
if (TimeInfo.TimeStepNumber % reclusteringInterval == 0)
{
// Fix for update problem of artificial viscosity
RaiseOnBeforeComputechangeRate(Time, dt);
//#if DEBUG
Console.WriteLine("\n-------------------------------------------------------------------------------------------");
Console.WriteLine("### BUILD NEW CLUSTERING FOR TESTING ###");
//#endif
// Necessary in order to use the number of sub-grids specified by the user for the reclustering in each time step
// Otherwise the value could be changed by the constructor of the parent class (AdamsBashforthLTS.cs) --> CreateSubGrids()
Clusterer.Clustering newClustering = clusterer.CreateClustering(numberOfClustersInitial, this.TimeStepConstraints, this.SubGrid);
newClustering = clusterer.TuneClustering(newClustering, Time, this.TimeStepConstraints); // Might remove sub-grids when their time step sizes are too similar
reclustered = clusterer.CheckForNewClustering(CurrentClustering, newClustering);
//#if DEBUG
//Console.WriteLine("########################################");
Console.WriteLine("-------------------------------------------------------------------------------------------");
//#endif
// After the intitial phase, activate adaptive mode for all ABevolve objects
foreach (ABevolve abE in ABevolver)
{
abE.adaptive = true;
}
if (reclustered)
{
Console.WriteLine("### RECLUSTERING ###");
CurrentClustering = newClustering;
ShortenHistories(ABevolver);
ABevolve[] oldABevolver = ABevolver;
CreateNewABevolver();
CopyHistoriesOfABevolver(oldABevolver);
}
GetBoundaryTopology();
}
}
}
return(reclustered);
}
public IBMAdamsBashforthLTS(SpatialOperator standardOperator, SpatialOperator boundaryOperator, CoordinateMapping fieldsMap, CoordinateMapping boundaryParameterMap, ISpeciesMap ibmSpeciesMap, IBMControl control, IList <TimeStepConstraint> timeStepConstraints, int reclusteringInterval, bool fluxCorrection, bool forceReclustering, int maxNumOfSubSteps = 0, bool logging = false, bool consoleOutput = false)
: base(standardOperator, fieldsMap, boundaryParameterMap, control.ExplicitOrder, control.NumberOfSubGrids, true, timeStepConstraints, reclusteringInterval: reclusteringInterval, fluxCorrection: fluxCorrection, subGrid: ibmSpeciesMap.SubGrid, forceReclustering: forceReclustering, logging: logging, consoleOutput: consoleOutput)
{
this.speciesMap = ibmSpeciesMap as ImmersedSpeciesMap;
if (this.speciesMap == null)
{
throw new ArgumentException(
"Only supported for species maps of type 'ImmersedSpeciesMap'",
"speciesMap");
}
this.standardOperator = standardOperator;
this.boundaryOperator = boundaryOperator;
this.boundaryParameterMap = boundaryParameterMap;
this.fieldsMap = fieldsMap;
this.control = control;
agglomerationPatternHasChanged = true;
cutCells = speciesMap.Tracker.Regions.GetCutCellMask();
cutAndTargetCells = cutCells.Union(speciesMap.Agglomerator.AggInfo.TargetCells);
if (consoleOutput)
{
Console.WriteLine("### This is IBM ABLTS ctor ###");
}
// Normal LTS constructor
clusterer = new Clusterer(this.gridData, maxNumOfSubSteps, cellAgglomerator: speciesMap.Agglomerator);
CurrentClustering = clusterer.CreateClustering(control.NumberOfSubGrids, this.TimeStepConstraints, speciesMap.SubGrid);
CurrentClustering = clusterer.TuneClustering(CurrentClustering, Time, this.TimeStepConstraints); // Might remove sub-grids when time step sizes are too similar
ABevolver = new IBMABevolve[CurrentClustering.NumberOfClusters];
for (int i = 0; i < ABevolver.Length; i++)
{
ABevolver[i] = new IBMABevolve(standardOperator, boundaryOperator, fieldsMap, boundaryParameterMap, speciesMap, control.ExplicitOrder, control.LevelSetQuadratureOrder, control.CutCellQuadratureType, sgrd: CurrentClustering.Clusters[i], adaptive: this.adaptive);
ABevolver[i].OnBeforeComputeChangeRate += (t1, t2) => this.RaiseOnBeforeComputechangeRate(t1, t2);
}
GetBoundaryTopology();
// Start-up phase needs an IBM Runge-Kutta time stepper
RungeKuttaScheme = new IBMSplitRungeKutta(standardOperator, boundaryOperator, fieldsMap, boundaryParameterMap, speciesMap, timeStepConstraints);
}
////################# Hack for saving to database in every (A)LTS sub-step
//private Action<TimestepNumber, double> saveToDBCallback;
////################# Hack for saving to database in every (A)LTS sub-step
/// <summary>
/// Standard constructor for the (adaptive) local time stepping algorithm
/// </summary>
/// <param name="spatialOp">Spatial operator</param>
/// <param name="Fieldsmap">Coordinate mapping for the variable fields</param>
/// <param name="Parameters">optional parameter fields, can be null if <paramref name="spatialOp"/> contains no parameters; must match the parameter field list of <paramref name="spatialOp"/>, see <see cref="BoSSS.Foundation.SpatialOperator.ParameterVar"/></param>
/// <param name="order">LTS/AB order</param>
/// <param name="numOfClusters">Amount of sub-grids/clusters to be used for LTS</param>
/// <param name="timeStepConstraints">Time step constraints for later usage as metric</param>
/// <param name="subGrid">Sub-grids, e.g., from previous time steps</param>
/// <param name="fluxCorrection">Bool for triggering the fluss correction</param>
/// <param name="reclusteringInterval">Interval for potential reclustering</param>
/// <param name="saveToDBCallback">Hack for plotting all sub-steps</param>
/// <remarks>Uses the k-Mean clustering, see <see cref="BoSSS.Solution.Utils.Kmeans"/>, to generate the element groups</remarks>
public AdamsBashforthLTS(SpatialOperator spatialOp, CoordinateMapping Fieldsmap, CoordinateMapping Parameters, int order, int numOfClusters, IList <TimeStepConstraint> timeStepConstraints = null, SubGrid subGrid = null, bool fluxCorrection = true, int reclusteringInterval = 0, Action <TimestepNumber, double> saveToDBCallback = null, int maxNumOfSubSteps = 0, bool forceReclustering = false, bool logging = false, bool consoleOutput = false)
: base(spatialOp, Fieldsmap, Parameters, order, timeStepConstraints, subGrid)
{
this.forceReclustering = forceReclustering;
this.Logging = logging;
this.ConsoleOutput = consoleOutput;
if (reclusteringInterval != 0)
{
NumberOfClustersInitial = numOfClusters;
this.adaptive = true;
}
// Add OnBeforeComputeChangeRate (AV) to start-up phase time stepper
RungeKuttaScheme.OnBeforeComputeChangeRate += (t1, t2) => this.RaiseOnBeforeComputechangeRate(t1, t2);
this.reclusteringInterval = reclusteringInterval;
this.gridData = Fieldsmap.Fields.First().GridDat;
this.fluxCorrection = fluxCorrection;
if (ConsoleOutput)
{
Console.WriteLine("### This is ABLTS ctor ###");
}
clusterer = new Clusterer(this.gridData, maxNumOfSubSteps);
CurrentClustering = clusterer.CreateClustering(numOfClusters, this.TimeStepConstraints, this.SubGrid); // Might remove clusters when their centres are too close
CurrentClustering = clusterer.TuneClustering(CurrentClustering, Time, this.TimeStepConstraints); // Might remove clusters when their time step sizes are too similar
ABevolver = new ABevolve[CurrentClustering.NumberOfClusters];
for (int i = 0; i < ABevolver.Length; i++)
{
ABevolver[i] = new ABevolve(spatialOp, Fieldsmap, Parameters, order, adaptive: this.adaptive, sgrd: CurrentClustering.Clusters[i]);
ABevolver[i].OnBeforeComputeChangeRate += (t1, t2) => this.RaiseOnBeforeComputechangeRate(t1, t2);
}
GetBoundaryTopology();
// Saving time steps in subgrids
//this.saveToDBCallback = saveToDBCallback;
}
