Mordicus.Containers.ProblemData

class ProblemData(problemName)

Bases: object

Class containing a problemData

problemName

name of the ProblemData object

Type:

str

dataFolder

name of folder containing the data of the problemData, relative to the mordicus client script

Type:

str

solutions

dictionary with solutionNames (str) as keys and solution (Solution) as values

Type:

dict

initialCondition

initial condition of the problem

Type:

InitialConditionBase

loadings

dictionary with identifier (str) as keys and loading (LoadingBase) as values

Type:

list

constitutiveLaws

dictionary with identifier (str) as keys and constitutive law (ConstitutiveLawBase) as values

Type:

dict

parameters

dictionary with time indices as keys and a np.ndarray of size (parameterDimension,) containing the parameters

Type:

dict

onlineData

dictionary with solutionNames (str) as keys and data structure used in the online stage as values. In simple methods, onlineData can directly be an operatorCompressionData generated during the offline stage and need in the online stage to compute the reduced problem

Type:

dict(str: custom_data_structure)

AddConstitutiveLaw(constitutiveLaw)

Adds a constitutive law or a list of constitutive laws to constitutiveLaws

Parameters:

constitutiveLaw (ConstitutiveLawBase) – the constitutive law of the problem for a given set and type

AddLoading(loading)

Adds a loading or a list of loadings to loadings

Parameters:

loading (LoadingBase) – the loading of the problem for a given set and type

AddOnlineData(onlineData)

Adds an onlineData to onlineData

Parameters:

onlineData (OnlineDataBase) – data structure used in the online stage

AddParameter(parameter, time=0.0)

Adds a parameter at time “time”

Parameters:

• parameter (np.ndarray) – of size (parameterDimension,)

• time (float) – (optional) time of the snapshot, default: 0.

AddSolution(solution)

Adds a solution to solutions

Parameters:

solution (Solution) – the solution of the problem for a given field

CompressSolution(solutionName, reducedOrderBasis, snapshotCorrelationOperator=None)

Compress solutions of name solutionName ; does nothing if no solution of name solutionName exists

Parameters:

• solutionName (str) – name of the solutions to compress

• snapshotCorrelationOperator (scipy.sparse.csr) – correlation operator between the snapshots

• reducedOrderBasis (np.ndarray) – of size (numberOfModes, numberOfDOFs)

ConvertReducedCoordinatesReducedOrderBasis(solutionName, projectedReducedOrderBasis)

Converts the reducedSnapshot from the current reducedOrderBasis to a newReducedOrderBasis using a projectedReducedOrderBasis between the current one and a new one

Parameters:

• solutionName (str) – name of the solution whose reducedCoordinates is to convert

• projectedReducedOrderBasis (np.ndarray) – of size (newNumberOfModes, numberOfModes)

DeleteSolutions()

Reinitializes the solutions parameter

GetConstitutiveLaws()

Returns the complete constitutiveLaws dictionary

Returns:

constitutive laws of the problem

Return type:

dict

GetConstitutiveLawsOfType(type)

Returns all constitutive laws of a specific type, in a list

Returns:

list of constitutive laws of type type

Return type:

list

GetDataFolder()

Returns the dataFolder parameter

Returns:

dataFolder

Return type:

str

GetInitialCondition()

Returns the initial condition

Returns:

initialCondition – initial condition of the problem

Return type:

InitialCondition

GetLoading(solutionName, type, set)

Returns a specific loading for the identifiers elements

Return type:

loading

GetLoadings()

Returns the complete loadings dictionary

Returns:

loadings of the problem

Return type:

dict

GetLoadingsForSolution(solutionName)

Returns all loadings for a specific solution name, in a list

Returns:

list of loadings of type type

Return type:

list

GetLoadingsOfType(type)

Returns all loadings of a specific type, in a list

Returns:

list of loadings of type type

Return type:

list

GetOnlineData(solutionName)

Returns the onlineData of name solutionName

Parameters:

solutionName (str) – name of the onlineData to retrieve

Return type:

OnlineDataBase

GetParameterAtTime(time)

Returns the parameter value at a specitiy time (with time interpolation if needed)

Parameters:

time (float) – time at which the parameter is retrieved

Returns:

parameter

Return type:

np.ndarray

GetParameterDimension()

Assert that the parameters have the same parameterDimension and return this size

Returns:

common parameterDimension

Return type:

int or None

GetParameters()

Returns the parameters

Returns:

parameters

Return type:

dict

GetParametersList()

Returns the parameter values in the form of a list

Returns:

list containing the parameters

Return type:

list

GetParametersTimeSequence()

Returns the time indices of the parameters

Returns:

list containing the time indices of the parameters

Return type:

list

GetSetsOfConstitutiveOfType(type)

Returns the sets of all constitutive laws of a specific type, in a set

Returns:

set of strings of elementSets

Return type:

set

GetSolution(solutionName)

Returns the solution of name solutionName

Parameters:

solutionName (str) – name of the solution to retrieve

Return type:

Solution

GetSolutions()

Returns the solutions of problemData

Returns:

solutions

Return type:

dict

SetDataFolder(dataFolder)

Sets the dataFolder parameter

Parameters:

dataFolder (str) – name of folder containing the data of the problemData, relative to the mordicus client script

SetInitialCondition(initialCondition)

Sets the initial condition

Parameters:

initialCondition (InitialCondition) – initial condition of the problem

UncompressSolution(solutionName, reducedOrderBasis)

Uncompress solutions of name solutionName

Parameters:

• solutionName (str) – name of the solutions to uncompress

• reducedOrderBasis (np.ndarray) – of size (numberOfModes, numberOfDOFs)

UpdateLoading(loading)

Update a loading or a list of loadings to loadings

Parameters:

loading (LoadingBase) – the loading of the problem for a given set and type