FieldMonteCarloAnalysis

class persalys.FieldMonteCarloAnalysis(*args)

Run a Monte Carlo analysis for models with mesh.

Parameters:
namestr

Name

modelPhysicalModel

Model containing a mesh

Examples

>>> import openturns as ot
>>> import persalys

Create the model:

>>> meshModel = persalys.GridMeshModel(ot.Interval(0., 12.), [5])
>>> z0 = persalys.Input('z0', 100, ot.Uniform(100, 150))
>>> v0 = persalys.Input('v0', 55, ot.Normal(55, 10))
>>> m = persalys.Input('m', 80, ot.Normal(80, 8))
>>> c = persalys.Input('c', 15, ot.Uniform(0, 30))
>>> z = persalys.Output('z', '')
>>> formula = ['max(0, z0 + (m * 9.81 / c) * t + (m / c) * (v0 - (m * 9.81 / c)) * (1 - exp(-t * c / m)))']
>>> model = persalys.SymbolicFieldModel('aModel', meshModel, [z0, v0, m, c], [z], formula)

Create the analysis:

>>> analysis = persalys.FieldMonteCarloAnalysis('analysis', model)
>>> analysis.setMaximumCalls(30)
>>> analysis.run()

Get the result:

>>> result = analysis.getResult()
Attributes:
thisown

The membership flag

Methods

getBlockSize()

Block size accessor.

getClassName()

Accessor to the object's name.

getErrorMessage()

Error message accessor.

getFailedInputSample()

Failed input sample accessor.

getId()

Accessor to the object's id.

getInterestVariables()

Get the variables to analyse.

getKarhunenLoeveThreshold()

Accessor to the limit ratio on eigenvalues.

getMaximumCalls()

Maximum calls accessor.

getMaximumCoefficientOfVariation()

Maximum coefficient of variation accessor.

getMaximumElapsedTime()

Maximum elapsed time accessor.

getName()

Accessor to the object's name.

getPhysicalModel()

Physical model accessor.

getPythonScript()

Physical model accessor.

getQuantileLevel()

Probability level accessor.

getResult()

Result accessor.

getSeed()

Seed accessor.

getShadowedId()

Accessor to the object's shadowed id.

getVisibility()

Accessor to the object's visibility state.

getWarningMessage()

Warning message accessor.

hasName()

Test if the object is named.

hasValidResult()

Whether the analysis has been run.

hasVisibleName()

Test if the object has a distinguishable name.

isReliabilityAnalysis()

Whether the analysis involves reliability.

isRunning()

Whether the analysis is running.

run()

Launch the analysis.

setBlockSize(size)

Block size accessor.

setInterestVariables(variablesNames)

Set the variables to analyse.

setKarhunenLoeveThreshold(threshold)

Accessor to the limit ratio on eigenvalues.

setMaximumCalls(maxi)

Maximum calls accessor.

setMaximumCoefficientOfVariation(coef)

Maximum coefficient of variation accessor.

setMaximumElapsedTime(seconds)

Maximum elapsed time accessor.

setName(name)

Accessor to the object's name.

setQuantileLevel(proba)

Probability level accessor.

setSeed(seed)

Seed accessor.

setShadowedId(id)

Accessor to the object's shadowed id.

setVisibility(visible)

Accessor to the object's visibility state.

canBeLaunched

getElapsedTime

getErrorDescription

getParentObserver

__init__(*args)
getBlockSize()

Block size accessor.

Returns:
blockSizepositive int

Number of terms analysed together. It is set by default to 1.

getClassName()

Accessor to the object’s name.

Returns:
class_namestr

The object class name (object.__class__.__name__).

getErrorMessage()

Error message accessor.

Returns:
messagestr

Error message if the analysis failed

getFailedInputSample()

Failed input sample accessor.

Returns:
sampleopenturns.Sample

Sample with the failed input values

getId()

Accessor to the object’s id.

Returns:
idint

Internal unique identifier.

getInterestVariables()

Get the variables to analyse.

Returns:
variablesNamessequence of str

Names of the variables to analyse

getKarhunenLoeveThreshold()

Accessor to the limit ratio on eigenvalues.

Returns:
thresholdfloat, positive

The threshold s defined in openturns.KarhunenLoeveAlgorithm.setThreshold()

getMaximumCalls()

Maximum calls accessor.

Returns:
maxCallspositive int

The maximum calls of the function.

getMaximumCoefficientOfVariation()

Maximum coefficient of variation accessor.

Returns:
maxCoefdouble

The maximum coefficient of variation. It is set by default to 0.01.

getMaximumElapsedTime()

Maximum elapsed time accessor.

Returns:
maxTimepositive int

The maximum elapsed time in seconds. It is set by default to 60 seconds.

getName()

Accessor to the object’s name.

Returns:
namestr

The name of the object.

getPhysicalModel()

Physical model accessor.

Returns:
modelPhysicalModel

Physical model

getPythonScript()

Physical model accessor.

Returns:
scriptstr

Python script to replay the analysis

getQuantileLevel()

Probability level accessor.

Returns:
levelfloat

Probability level

getResult()

Result accessor.

Returns:
resultpersalys.FieldMonteCarloResult

Result

getSeed()

Seed accessor.

Returns:
seedint

Seed value

getShadowedId()

Accessor to the object’s shadowed id.

Returns:
idint

Internal unique identifier.

getVisibility()

Accessor to the object’s visibility state.

Returns:
visiblebool

Visibility flag.

getWarningMessage()

Warning message accessor.

Returns:
messagestr

Warning message which can appear during the analysis computation

hasName()

Test if the object is named.

Returns:
hasNamebool

True if the name is not empty.

hasValidResult()

Whether the analysis has been run.

Returns:
hasValidResultbool

Whether the analysis has already been run

hasVisibleName()

Test if the object has a distinguishable name.

Returns:
hasVisibleNamebool

True if the name is not empty and not the default one.

isReliabilityAnalysis()

Whether the analysis involves reliability.

Returns:
isReliabilityAnalysisbool

Whether the analysis involves a reliability analysis

isRunning()

Whether the analysis is running.

Returns:
isRunningbool

Whether the analysis is running

run()

Launch the analysis.

setBlockSize(size)

Block size accessor.

Parameters:
blockSizepositive int

Number of terms analysed together. It is set by default to 1.

setInterestVariables(variablesNames)

Set the variables to analyse.

Parameters:
variablesNamessequence of str

Names of the variables to analyse

setKarhunenLoeveThreshold(threshold)

Accessor to the limit ratio on eigenvalues.

Parameters:
thresholdfloat, positive

The threshold s defined in openturns.KarhunenLoeveAlgorithm.getThreshold()

setMaximumCalls(maxi)

Maximum calls accessor.

Parameters:
maxCallspositive int

The maximum calls of the function.

setMaximumCoefficientOfVariation(coef)

Maximum coefficient of variation accessor.

Parameters:
maxCoefdouble

The maximum coefficient of variation. It is set by default to 0.01.

setMaximumElapsedTime(seconds)

Maximum elapsed time accessor.

Parameters:
maxTimepositive int

The maximum elapsed time in seconds. It is set by default to 60 seconds.

setName(name)

Accessor to the object’s name.

Parameters:
namestr

The name of the object.

setQuantileLevel(proba)

Probability level accessor.

Parameters:
levelfloat, 0 < p < 1

Probability level

setSeed(seed)

Seed accessor.

Parameters:
seedint

Seed value

setShadowedId(id)

Accessor to the object’s shadowed id.

Parameters:
idint

Internal unique identifier.

setVisibility(visible)

Accessor to the object’s visibility state.

Parameters:
visiblebool

Visibility flag.

property thisown

The membership flag