esys.modellib.mechanics Package¶

Classes¶

DruckerPrager
IterationDivergenceError
LinearPDE
Mechanics
Model

class esys.modellib.mechanics.DruckerPrager(**kwargs)¶

Bases: esys.modellib.mechanics.Mechanics

__init__(**kwargs)¶: set up model

SAFTY_FACTOR_ITERATION = 0.01¶

UNDEF_DT = 1e+300¶

checkLinkTargets(models, hash)¶: Returns a set of tuples (“<self>(<name>)”, <target model>) if the parameter <name> is linked to model <target model> but <target model> is not in the list of models. If a parameter is linked to another parameter set which is not in the hash list the parameter set is checked for its models. hash gives the call history.

declareParameter(**parameters)¶: Declares one or more new parameters and their initial value.

declareParameters(parameters)¶: Declares a set of parameters. parameters can be a list, a dictionary or a ParameterSet.

doFinalization()¶

Finalizes the time stepping.

This function may be overwritten.

doInitialPostprocessing()¶

Finalises the initialization iteration process. This method is not called in case of a restart.

This function may be overwritten.

doInitialStep()¶

Performs an iteration step in the initialization phase. This method is not called in case of a restart.

This function may be overwritten.

doInitialization()¶

doStep(dt)¶

doStepPostprocessing(dt)¶: accept all the values:

doStepPreprocessing(dt)¶

finalize()¶

Returns False if the time stepping is finalized.

This function may be overwritten.

classmethod fromDom(esysxml, node)¶

getAttributeObject(name)¶: Returns the object stored for attribute name.

getSafeTimeStepSize(dt)¶: returns new step size

hasAttribute(name)¶: Returns True if self has attribute name.

releaseParameters(name)¶: Removes parameter name from the parameters.

setStress()¶

setTangentialTensor()¶

setUp()¶

Sets up the model.

This function may be overwritten.

showParameters()¶: Returns a description of the parameters.

terminateInitialIteration()¶: Returns True if iteration at the inital phase is terminated.

terminateIteration()¶: iteration is terminateIterationd if relative pressure change is less than rel_tol

toDom(esysxml, node)¶: toDom method of Model class.

trace(msg)¶: If debugging is on, prints the message, otherwise does nothing.

writeXML(ostream=<_io.TextIOWrapper name='<stdout>' mode='w' encoding='UTF-8'>)¶: Writes the object as an XML object into an output stream.

class esys.modellib.mechanics.IterationDivergenceError¶

Bases: Exception

Exception which is thrown if there is no convergence of the iteration process at a time step.

But there is a chance that a smaller step could help to reach convergence.

__init__()¶: Initialize self. See help(type(self)) for accurate signature.

args¶

with_traceback()¶: Exception.with_traceback(tb) – set self.__traceback__ to tb and return self.

class esys.modellib.mechanics.LinearPDE(domain, numEquations=None, numSolutions=None, isComplex=False, debug=False)¶

Bases: esys.escriptcore.linearPDEs.LinearProblem

This class is used to define a general linear, steady, second order PDE for an unknown function u on a given domain defined through a Domain object.

For a single PDE having a solution with a single component the linear PDE is defined in the following form:

-(grad(A[j,l]+A_reduced[j,l])*grad(u)[l]+(B[j]+B_reduced[j])u)[j]+(C[l]+C_reduced[l])*grad(u)[l]+(D+D_reduced)=-grad(X+X_reduced)[j,j]+(Y+Y_reduced)

where grad(F) denotes the spatial derivative of F. Einstein’s summation convention, ie. summation over indexes appearing twice in a term of a sum performed, is used. The coefficients A, B, C, D, X and Y have to be specified through Data objects in Function and the coefficients A_reduced, B_reduced, C_reduced, D_reduced, X_reduced and Y_reduced have to be specified through Data objects in ReducedFunction. It is also allowed to use objects that can be converted into such Data objects. A and A_reduced are rank two, B, C, X, B_reduced, C_reduced and X_reduced are rank one and D, D_reduced, Y and Y_reduced are scalar.

The following natural boundary conditions are considered:

n[j]*((A[i,j]+A_reduced[i,j])*grad(u)[l]+(B+B_reduced)[j]*u)+(d+d_reduced)*u=n[j]*(X[j]+X_reduced[j])+y

where n is the outer normal field. Notice that the coefficients A, A_reduced, B, B_reduced, X and X_reduced are defined in the PDE. The coefficients d and y are each a scalar in FunctionOnBoundary and the coefficients d_reduced and y_reduced are each a scalar in ReducedFunctionOnBoundary.

Constraints for the solution prescribe the value of the solution at certain locations in the domain. They have the form

u=r where q>0

r and q are each scalar where q is the characteristic function defining where the constraint is applied. The constraints override any other condition set by the PDE or the boundary condition.

The PDE is symmetrical if

A[i,j]=A[j,i] and B[j]=C[j] and A_reduced[i,j]=A_reduced[j,i] and B_reduced[j]=C_reduced[j]

For a system of PDEs and a solution with several components the PDE has the form

-grad((A[i,j,k,l]+A_reduced[i,j,k,l])*grad(u[k])[l]+(B[i,j,k]+B_reduced[i,j,k])*u[k])[j]+(C[i,k,l]+C_reduced[i,k,l])*grad(u[k])[l]+(D[i,k]+D_reduced[i,k]*u[k] =-grad(X[i,j]+X_reduced[i,j])[j]+Y[i]+Y_reduced[i]

A and A_reduced are of rank four, B, B_reduced, C and C_reduced are each of rank three, D, D_reduced, X_reduced and X are each of rank two and Y and Y_reduced are of rank one. The natural boundary conditions take the form:

n[j]*((A[i,j,k,l]+A_reduced[i,j,k,l])*grad(u[k])[l]+(B[i,j,k]+B_reduced[i,j,k])*u[k])+(d[i,k]+d_reduced[i,k])*u[k]=n[j]*(X[i,j]+X_reduced[i,j])+y[i]+y_reduced[i]

The coefficient d is of rank two and y is of rank one both in FunctionOnBoundary. The coefficients d_reduced is of rank two and y_reduced is of rank one both in ReducedFunctionOnBoundary.

Constraints take the form

u[i]=r[i] where q[i]>0

r and q are each rank one. Notice that at some locations not necessarily all components must have a constraint.

The system of PDEs is symmetrical if

A[i,j,k,l]=A[k,l,i,j]

A_reduced[i,j,k,l]=A_reduced[k,l,i,j]

B[i,j,k]=C[k,i,j]

B_reduced[i,j,k]=C_reduced[k,i,j]

D[i,k]=D[i,k]

D_reduced[i,k]=D_reduced[i,k]

d[i,k]=d[k,i]

d_reduced[i,k]=d_reduced[k,i]

LinearPDE also supports solution discontinuities over a contact region in the domain. To specify the conditions across the discontinuity we are using the generalised flux J which, in the case of a system of PDEs and several components of the solution, is defined as

J[i,j]=(A[i,j,k,l]+A_reduced[[i,j,k,l])*grad(u[k])[l]+(B[i,j,k]+B_reduced[i,j,k])*u[k]-X[i,j]-X_reduced[i,j]

For the case of single solution component and single PDE J is defined as

J[j]=(A[i,j]+A_reduced[i,j])*grad(u)[j]+(B[i]+B_reduced[i])*u-X[i]-X_reduced[i]

In the context of discontinuities n denotes the normal on the discontinuity pointing from side 0 towards side 1 calculated from FunctionSpace.getNormal of FunctionOnContactZero. For a system of PDEs the contact condition takes the form

n[j]*J0[i,j]=n[j]*J1[i,j]=(y_contact[i]+y_contact_reduced[i])- (d_contact[i,k]+d_contact_reduced[i,k])*jump(u)[k]

where J0 and J1 are the fluxes on side 0 and side 1 of the discontinuity, respectively. jump(u), which is the difference of the solution at side 1 and at side 0, denotes the jump of u across discontinuity along the normal calculated by jump. The coefficient d_contact is of rank two and y_contact is of rank one both in FunctionOnContactZero or FunctionOnContactOne. The coefficient d_contact_reduced is of rank two and y_contact_reduced is of rank one both in ReducedFunctionOnContactZero or ReducedFunctionOnContactOne. In case of a single PDE and a single component solution the contact condition takes the form

n[j]*J0_{j}=n[j]*J1_{j}=(y_contact+y_contact_reduced)-(d_contact+y_contact_reduced)*jump(u)

In this case the coefficient d_contact and y_contact are each scalar both in FunctionOnContactZero or FunctionOnContactOne and the coefficient d_contact_reduced and y_contact_reduced are each scalar both in ReducedFunctionOnContactZero or ReducedFunctionOnContactOne.

Typical usage:

p = LinearPDE(dom)
p.setValue(A=kronecker(dom), D=1, Y=0.5)
u = p.getSolution()

__init__(domain, numEquations=None, numSolutions=None, isComplex=False, debug=False)¶

Initializes a new linear PDE.

Parameters:	domain (`Domain`) – domain of the PDE numEquations – number of equations. If `None` the number of equations is extracted from the PDE coefficients. numSolutions – number of solution components. If `None` the number of solution components is extracted from the PDE coefficients. debug – if True debug information is printed

addPDEToLumpedSystem(operator, a, b, c, hrz_lumping)¶

adds a PDE to the lumped system, results depend on domain

Parameters:	mat (`OperatorAdapter`) – rhs (`Data`) – a (`Data`) – b (`Data`) – c (`Data`) – hrz_lumping (`bool`) –

addPDEToRHS(righthandside, X, Y, y, y_contact, y_dirac)¶

adds a PDE to the right hand side, results depend on domain

Parameters:	mat (`OperatorAdapter`) – righthandside (`Data`) – X (`Data`) – Y (`Data`) – y (`Data`) – y_contact (`Data`) – y_dirac (`Data`) –

addPDEToSystem(operator, righthandside, A, B, C, D, X, Y, d, y, d_contact, y_contact, d_dirac, y_dirac)¶

adds a PDE to the system, results depend on domain

Parameters:	mat (`OperatorAdapter`) – rhs (`Data`) – A (`Data`) – B (`Data`) – C (`Data`) – D (`Data`) – X (`Data`) – Y (`Data`) – d (`Data`) – y (`Data`) – d_contact (`Data`) – y_contact (`Data`) – d_dirac (`Data`) – y_dirac (`Data`) –

addToRHS(rhs, data)¶

adds a PDE to the right hand side, results depend on domain

Parameters:	mat (`OperatorAdapter`) – righthandside (`Data`) – data (`list`) –

addToSystem(op, rhs, data)¶

adds a PDE to the system, results depend on domain

Parameters:	mat (`OperatorAdapter`) – rhs (`Data`) – data (`list`) –

alteredCoefficient(name)¶

Announces that coefficient name has been changed.

Parameters:	name (`string`) – name of the coefficient affected
Raises:	IllegalCoefficient – if `name` is not a coefficient of the PDE
Note:	if `name` is q or r, the method will not trigger a rebuild of the system as constraints are applied to the solved system.

checkReciprocalSymmetry(name0, name1, verbose=True)¶

Tests two coefficients for reciprocal symmetry.

Parameters:	name0 (`str`) – name of the first coefficient name1 (`str`) – name of the second coefficient verbose (`bool`) – if set to True or not present a report on coefficients which break the symmetry is printed
Returns:	True if coefficients `name0` and `name1` are reciprocally symmetric.
Return type:	`bool`

checkSymmetricTensor(name, verbose=True)¶

Tests a coefficient for symmetry.

Parameters:	name (`str`) – name of the coefficient verbose (`bool`) – if set to True or not present a report on coefficients which break the symmetry is printed.
Returns:	True if coefficient `name` is symmetric
Return type:	`bool`

checkSymmetry(verbose=True)¶

Tests the PDE for symmetry.

Parameters:	verbose (`bool`) – if set to True or not present a report on coefficients which break the symmetry is printed.
Returns:	True if the PDE is symmetric
Return type:	`bool`
Note:	This is a very expensive operation. It should be used for degugging only! The symmetry flag is not altered.

createCoefficient(name)¶

Creates a Data object corresponding to coefficient name.

Returns:	the coefficient `name` initialized to 0
Return type:	`Data`
Raises:	IllegalCoefficient – if `name` is not a coefficient of the PDE

createOperator()¶: Returns an instance of a new operator.

createRightHandSide()¶: Returns an instance of a new right hand side.

createSolution()¶: Returns an instance of a new solution.

getCoefficient(name)¶

Returns the value of the coefficient name.

Parameters:	name (`string`) – name of the coefficient requested
Returns:	the value of the coefficient
Return type:	`Data`
Raises:	IllegalCoefficient – if `name` is not a coefficient of the PDE

getCurrentOperator()¶: Returns the operator in its current state.

getCurrentRightHandSide()¶: Returns the right hand side in its current state.

getCurrentSolution()¶: Returns the solution in its current state.

getDim()¶

Returns the spatial dimension of the PDE.

Returns:	the spatial dimension of the PDE domain
Return type:	`int`

getDomain()¶

Returns the domain of the PDE.

Returns:	the domain of the PDE
Return type:	`Domain`

getDomainStatus()¶: Return the status indicator of the domain

getFlux(u=None)¶

Returns the flux J for a given u.

J[i,j]=(A[i,j,k,l]+A_reduced[A[i,j,k,l]]*grad(u[k])[l]+(B[i,j,k]+B_reduced[i,j,k])u[k]-X[i,j]-X_reduced[i,j]

or

J[j]=(A[i,j]+A_reduced[i,j])*grad(u)[l]+(B[j]+B_reduced[j])u-X[j]-X_reduced[j]

Parameters:	u (`Data` or None) – argument in the flux. If u is not present or equals `None` the current solution is used.
Returns:	flux
Return type:	`Data`

getFunctionSpaceForCoefficient(name)¶

Returns the FunctionSpace to be used for coefficient name.

Parameters:	name (`string`) – name of the coefficient enquired
Returns:	the function space to be used for coefficient `name`
Return type:	`FunctionSpace`
Raises:	IllegalCoefficient – if `name` is not a coefficient of the PDE

getFunctionSpaceForEquation()¶

Returns the FunctionSpace used to discretize the equation.

Returns:	representation space of equation
Return type:	`FunctionSpace`

getFunctionSpaceForSolution()¶

Returns the FunctionSpace used to represent the solution.

Returns:	representation space of solution
Return type:	`FunctionSpace`

getNumEquations()¶

Returns the number of equations.

Returns:	the number of equations
Return type:	`int`
Raises:	UndefinedPDEError – if the number of equations is not specified yet

getNumSolutions()¶

Returns the number of unknowns.

Returns:	the number of unknowns
Return type:	`int`
Raises:	UndefinedPDEError – if the number of unknowns is not specified yet

getOperator()¶

Returns the operator of the linear problem.

Returns:	the operator of the problem

getOperatorType()¶: Returns the current system type.

getRequiredOperatorType()¶: Returns the system type which needs to be used by the current set up.

getResidual(u=None)¶

Returns the residual of u or the current solution if u is not present.

Parameters:	u (`Data` or None) – argument in the residual calculation. It must be representable in `self.getFunctionSpaceForSolution()`. If u is not present or equals `None` the current solution is used.
Returns:	residual of u
Return type:	`Data`

getRightHandSide()¶

Returns the right hand side of the linear problem.

Returns:	the right hand side of the problem
Return type:	`Data`

getShapeOfCoefficient(name)¶

Returns the shape of the coefficient name.

Parameters:	name (`string`) – name of the coefficient enquired
Returns:	the shape of the coefficient `name`
Return type:	`tuple` of `int`
Raises:	IllegalCoefficient – if `name` is not a coefficient of the PDE

getSolution()¶

Returns the solution of the PDE.

Returns:	the solution
Return type:	`Data`

getSolverOptions()¶

Returns the solver options

Return type:	`SolverOptions`

getSystem()¶

Returns the operator and right hand side of the PDE.

Returns:	the discrete version of the PDE
Return type:	`tuple` of `Operator` and `Data`

getSystemStatus()¶: Return the domain status used to build the current system

hasCoefficient(name)¶

Returns True if name is the name of a coefficient.

Parameters:	name (`string`) – name of the coefficient enquired
Returns:	True if `name` is the name of a coefficient of the general PDE, False otherwise
Return type:	`bool`

initializeSystem()¶: Resets the system clearing the operator, right hand side and solution.

insertConstraint(rhs_only=False)¶

Applies the constraints defined by q and r to the PDE.

Parameters:	rhs_only (`bool`) – if True only the right hand side is altered by the constraint

introduceCoefficients(**coeff)¶

Introduces new coefficients into the problem.

Use:

p.introduceCoefficients(A=PDECoef(…), B=PDECoef(…))

to introduce the coefficients A and B.

invalidateOperator()¶: Indicates the operator has to be rebuilt next time it is used.

invalidateRightHandSide()¶: Indicates the right hand side has to be rebuilt next time it is used.

invalidateSolution()¶: Indicates the PDE has to be resolved if the solution is requested.

invalidateSystem()¶: Announces that everything has to be rebuilt.

isComplex()¶

Returns true if this is a complex-valued LinearProblem, false if real-valued.

Return type:	`bool`

isHermitian()¶

Checks if the pde is indicated to be Hermitian.

Returns:	True if a Hermitian PDE is indicated, False otherwise
Return type:	`bool`
Note:	the method is equivalent to use getSolverOptions().isHermitian()

isOperatorValid()¶: Returns True if the operator is still valid.

isRightHandSideValid()¶: Returns True if the operator is still valid.

isSolutionValid()¶: Returns True if the solution is still valid.

isSymmetric()¶

Checks if symmetry is indicated.

Returns:	True if a symmetric PDE is indicated, False otherwise
Return type:	`bool`
Note:	the method is equivalent to use getSolverOptions().isSymmetric()

isSystemValid()¶: Returns True if the system (including solution) is still vaild.

isUsingLumping()¶

Checks if matrix lumping is the current solver method.

Returns:	True if the current solver method is lumping
Return type:	`bool`

preservePreconditioner(preserve=True)¶

Notifies the PDE that the preconditioner should not be reset when making changes to the operator.

Building the preconditioner data can be quite expensive (e.g. for multigrid methods) so if it is known that changes to the operator are going to be minor calling this method can speed up successive PDE solves.

Note:	Not all operator types support this.
Parameters:	preserve (`bool`) – if True, preconditioner will be preserved, otherwise it will be reset when making changes to the operator, which is the default behaviour.

reduceEquationOrder()¶

Returns the status of order reduction for the equation.

Returns:	True if reduced interpolation order is used for the representation of the equation, False otherwise
Return type:	`bool`

reduceSolutionOrder()¶

Returns the status of order reduction for the solution.

Returns:	True if reduced interpolation order is used for the representation of the solution, False otherwise
Return type:	`bool`

resetAllCoefficients()¶: Resets all coefficients to their default values.

resetOperator()¶: Makes sure that the operator is instantiated and returns it initialized with zeros.

resetRightHandSide()¶: Sets the right hand side to zero.

resetRightHandSideCoefficients()¶: Resets all coefficients defining the right hand side

resetSolution()¶: Sets the solution to zero.

setDebug(flag)¶

Switches debug output on if flag is True otherwise it is switched off.

Parameters:	flag (`bool`) – desired debug status

setDebugOff()¶: Switches debug output off.

setDebugOn()¶: Switches debug output on.

setHermitian(flag=False)¶

Sets the Hermitian flag to flag.

Parameters:	flag (`bool`) – If True, the Hermitian flag is set otherwise reset.
Note:	The method overwrites the Hermitian flag set by the solver options

setHermitianOff()¶: Clears the Hermitian flag. :note: The method overwrites the Hermitian flag set by the solver options

setHermitianOn()¶: Sets the Hermitian flag. :note: The method overwrites the Hermitian flag set by the solver options

setReducedOrderForEquationOff()¶

Switches reduced order off for equation representation.

Raises:	RuntimeError – if order reduction is altered after a coefficient has been set

setReducedOrderForEquationOn()¶

Switches reduced order on for equation representation.

Raises:	RuntimeError – if order reduction is altered after a coefficient has been set

setReducedOrderForEquationTo(flag=False)¶

Sets order reduction state for equation representation according to flag.

Parameters:	flag (`bool`) – if flag is True, the order reduction is switched on for equation representation, otherwise or if flag is not present order reduction is switched off
Raises:	RuntimeError – if order reduction is altered after a coefficient has been set

setReducedOrderForSolutionOff()¶

Switches reduced order off for solution representation

Raises:	RuntimeError – if order reduction is altered after a coefficient has been set.

setReducedOrderForSolutionOn()¶

Switches reduced order on for solution representation.

Raises:	RuntimeError – if order reduction is altered after a coefficient has been set

setReducedOrderForSolutionTo(flag=False)¶

Sets order reduction state for solution representation according to flag.

Parameters:	flag (`bool`) – if flag is True, the order reduction is switched on for solution representation, otherwise or if flag is not present order reduction is switched off
Raises:	RuntimeError – if order reduction is altered after a coefficient has been set

setReducedOrderOff()¶

Switches reduced order off for solution and equation representation

Raises:	RuntimeError – if order reduction is altered after a coefficient has been set

setReducedOrderOn()¶

Switches reduced order on for solution and equation representation.

Raises:	RuntimeError – if order reduction is altered after a coefficient has been set

setReducedOrderTo(flag=False)¶

Sets order reduction state for both solution and equation representation according to flag.

Parameters:	flag (`bool`) – if True, the order reduction is switched on for both solution and equation representation, otherwise or if flag is not present order reduction is switched off
Raises:	RuntimeError – if order reduction is altered after a coefficient has been set

setSolution(u, validate=True)¶: Sets the solution assuming that makes the system valid with the tolrance defined by the solver options

setSolverOptions(options=None)¶

Sets the solver options.

Parameters:	options (`SolverOptions` or `None`) – the new solver options. If equal `None`, the solver options are set to the default.
Note:	The symmetry flag of options is overwritten by the symmetry flag of the `LinearProblem`.

setSymmetry(flag=False)¶

Sets the symmetry flag to flag.

Parameters:	flag (`bool`) – If True, the symmetry flag is set otherwise reset.
Note:	The method overwrites the symmetry flag set by the solver options

setSymmetryOff()¶: Clears the symmetry flag. :note: The method overwrites the symmetry flag set by the solver options

setSymmetryOn()¶: Sets the symmetry flag. :note: The method overwrites the symmetry flag set by the solver options

setSystemStatus(status=None)¶: Sets the system status to status if status is not present the current status of the domain is used.

setValue(**coefficients)¶

Sets new values to coefficients.

Parameters:

coefficients – new values assigned to coefficients
A (any type that can be cast to a Data object on Function) – value for coefficient A
A_reduced (any type that can be cast to a Data object on ReducedFunction) – value for coefficient A_reduced
B (any type that can be cast to a Data object on Function) – value for coefficient B
B_reduced (any type that can be cast to a Data object on ReducedFunction) – value for coefficient B_reduced
C (any type that can be cast to a Data object on Function) – value for coefficient C
C_reduced (any type that can be cast to a Data object on ReducedFunction) – value for coefficient C_reduced
D (any type that can be cast to a Data object on Function) – value for coefficient D
D_reduced (any type that can be cast to a Data object on ReducedFunction) – value for coefficient D_reduced
X (any type that can be cast to a Data object on Function) – value for coefficient X
X_reduced (any type that can be cast to a Data object on ReducedFunction) – value for coefficient X_reduced
Y (any type that can be cast to a Data object on Function) – value for coefficient Y
Y_reduced (any type that can be cast to a Data object on ReducedFunction) – value for coefficient Y_reduced
d (any type that can be cast to a Data object on FunctionOnBoundary) – value for coefficient d
d_reduced (any type that can be cast to a Data object on ReducedFunctionOnBoundary) – value for coefficient d_reduced
y (any type that can be cast to a Data object on FunctionOnBoundary) – value for coefficient y
d_contact (any type that can be cast to a Data object on FunctionOnContactOne or FunctionOnContactZero) – value for coefficient d_contact
d_contact_reduced (any type that can be cast to a Data object on ReducedFunctionOnContactOne or ReducedFunctionOnContactZero) – value for coefficient d_contact_reduced
y_contact (any type that can be cast to a Data object on FunctionOnContactOne or FunctionOnContactZero) – value for coefficient y_contact
y_contact_reduced (any type that can be cast to a Data object on ReducedFunctionOnContactOne or ReducedFunctionOnContactZero) – value for coefficient y_contact_reduced
d_dirac (any type that can be cast to a Data object on DiracDeltaFunctions) – value for coefficient d_dirac
y_dirac (any type that can be cast to a Data object on DiracDeltaFunctions) – value for coefficient y_dirac
r (any type that can be cast to a Data object on Solution or ReducedSolution depending on whether reduced order is used for the solution) – values prescribed to the solution at the locations of constraints
q (any type that can be cast to a Data object on Solution or ReducedSolution depending on whether reduced order is used for the representation of the equation) – mask for location of constraints

Raises:

IllegalCoefficient – if an unknown coefficient keyword is used

shouldPreservePreconditioner()¶

Returns true if the preconditioner / factorisation should be kept even when resetting the operator.

Return type:	`bool`

trace(text)¶

Prints the text message if debug mode is switched on.

Parameters:	text (`string`) – message to be printed

validOperator()¶: Marks the operator as valid.

validRightHandSide()¶: Marks the right hand side as valid.

validSolution()¶: Marks the solution as valid.

class esys.modellib.mechanics.Mechanics(**kwargs)¶

Bases: esys.escriptcore.modelframe.Model

base class for mechanics models in updated lagrangean framework

Note:	Instance variable domain - domain (in)
Note:	Instance variable internal_force - =Data()
Note:	Instance variable external_force - =Data()
Note:	Instance variable prescribed_velocity - =Data()
Note:	Instance variable location_prescribed_velocity - =Data()
Note:	Instance variable temperature - = None
Note:	Instance variable expansion_coefficient - = 0.
Note:	Instance variable bulk_modulus - =1.
Note:	Instance variable shear_modulus - =1.
Note:	Instance variable rel_tol - =1.e-3
Note:	Instance variable abs_tol - =1.e-15
Note:	Instance variable max_iter - =10
Note:	Instance variable displacement - =None
Note:	Instance variable stress - =None

__init__(**kwargs)¶

set up the model

Parameters:	debug (`bool`) – debug flag

SAFTY_FACTOR_ITERATION = 0.01¶

UNDEF_DT = 1e+300¶

checkLinkTargets(models, hash)¶: Returns a set of tuples (“<self>(<name>)”, <target model>) if the parameter <name> is linked to model <target model> but <target model> is not in the list of models. If a parameter is linked to another parameter set which is not in the hash list the parameter set is checked for its models. hash gives the call history.

declareParameter(**parameters)¶: Declares one or more new parameters and their initial value.

declareParameters(parameters)¶: Declares a set of parameters. parameters can be a list, a dictionary or a ParameterSet.

doFinalization()¶

Finalizes the time stepping.

This function may be overwritten.

doInitialPostprocessing()¶

Finalises the initialization iteration process. This method is not called in case of a restart.

This function may be overwritten.

doInitialStep()¶

Performs an iteration step in the initialization phase. This method is not called in case of a restart.

This function may be overwritten.

doInitialization()¶: initialize model

doStep(dt)¶

doStepPostprocessing(dt)¶: accept all the values:

doStepPreprocessing(dt)¶

step up pressure iteration

if run within a time dependend problem extrapolation of pressure from previous time steps is used to get an initial guess (that needs some work!!!!!!!)

finalize()¶

Returns False if the time stepping is finalized.

This function may be overwritten.

classmethod fromDom(esysxml, node)¶

getAttributeObject(name)¶: Returns the object stored for attribute name.

getSafeTimeStepSize(dt)¶: returns new step size

hasAttribute(name)¶: Returns True if self has attribute name.

releaseParameters(name)¶: Removes parameter name from the parameters.

setUp()¶

Sets up the model.

This function may be overwritten.

showParameters()¶: Returns a description of the parameters.

terminateInitialIteration()¶: Returns True if iteration at the inital phase is terminated.

terminateIteration()¶: iteration is terminateIterationd if relative pressure change is less than rel_tol

toDom(esysxml, node)¶: toDom method of Model class.

trace(msg)¶: If debugging is on, prints the message, otherwise does nothing.

writeXML(ostream=<_io.TextIOWrapper name='<stdout>' mode='w' encoding='UTF-8'>)¶: Writes the object as an XML object into an output stream.

class esys.modellib.mechanics.Model(parameters=[], **kwargs)¶

Bases: esys.escriptcore.modelframe.ParameterSet

A Model object represents a process marching over time until a finalizing condition is fulfilled. At each time step an iterative process can be performed and the time step size can be controlled. A Model has the following work flow:

doInitialization()
while not terminateInitialIteration(): doInitialStep()
doInitialPostprocessing()
while not finalize():
    dt=getSafeTimeStepSize(dt)
    doStepPreprocessing(dt)
    while not terminateIteration(): doStep(dt)
    doStepPostprocessing(dt)
doFinalization()

where doInitialization, finalize, getSafeTimeStepSize, doStepPreprocessing, terminateIteration, doStepPostprocessing, doFinalization are methods of the particular instance of a Model. The default implementations of these methods have to be overwritten by the subclass implementing a Model.

__init__(parameters=[], **kwargs)¶

Creates a model.

Just calls the parent constructor.

UNDEF_DT = 1e+300¶

checkLinkTargets(models, hash)¶: Returns a set of tuples (“<self>(<name>)”, <target model>) if the parameter <name> is linked to model <target model> but <target model> is not in the list of models. If a parameter is linked to another parameter set which is not in the hash list the parameter set is checked for its models. hash gives the call history.

declareParameter(**parameters)¶: Declares one or more new parameters and their initial value.

declareParameters(parameters)¶: Declares a set of parameters. parameters can be a list, a dictionary or a ParameterSet.

doFinalization()¶

Finalizes the time stepping.

This function may be overwritten.

doInitialPostprocessing()¶

Finalises the initialization iteration process. This method is not called in case of a restart.

This function may be overwritten.

doInitialStep()¶

Performs an iteration step in the initialization phase. This method is not called in case of a restart.

This function may be overwritten.

doInitialization()¶

Initializes the time stepping scheme. This method is not called in case of a restart.

This function may be overwritten.

doStep(dt)¶

Executes an iteration step at a time step.

dt is the currently used time step size.

This function may be overwritten.

doStepPostprocessing(dt)¶

Finalises the time step.

dt is the currently used time step size.

This function may be overwritten.

doStepPreprocessing(dt)¶

Sets up a time step of step size dt.

This function may be overwritten.

finalize()¶

Returns False if the time stepping is finalized.

This function may be overwritten.

classmethod fromDom(esysxml, node)¶

getAttributeObject(name)¶: Returns the object stored for attribute name.

getSafeTimeStepSize(dt)¶

Returns a time step size which can be safely used.

dt gives the previously used step size.

This function may be overwritten.

hasAttribute(name)¶: Returns True if self has attribute name.

releaseParameters(name)¶: Removes parameter name from the parameters.

setUp()¶

Sets up the model.

This function may be overwritten.

showParameters()¶: Returns a description of the parameters.

terminateInitialIteration()¶: Returns True if iteration at the inital phase is terminated.

terminateIteration()¶: Returns True if iteration on a time step is terminated.

toDom(esysxml, node)¶: toDom method of Model class.

trace(msg)¶: If debugging is on, prints the message, otherwise does nothing.

writeXML(ostream=<_io.TextIOWrapper name='<stdout>' mode='w' encoding='UTF-8'>)¶: Writes the object as an XML object into an output stream.

esys.modellib.mechanics Package¶

Classes¶

Functions¶

Others¶

Packages¶

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