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| Package esys :: Package modellib :: Module temperature :: Class TemperatureAdvection |
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object --+
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LinkableObject --+
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ParameterSet --+
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Model --+
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TemperatureAdvection
The conservation of internal heat energy is given by
ρ c_p ( dT/dt+v[j]*grad(T)[j])-grad(\kappa grad(T)_{,i}=Q
n_i\kappa T_{,i}=0
it is assummed that ho c_p is constant in time.
solved by Taylor Galerkin method| Method Summary | |
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__init__(self,
debug)
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Initializes the time stepping scheme. | |
perform taylor galerkin step | |
tangential operator for taylor galerikin | |
returns new step size | |
| Inherited from Model | |
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Finalizes the time stepping. | |
Executes an iteration step at a time step. | |
Sets up a time step of step size dt. | |
Returns False if the time stepping is finalized. | |
Returns True if iteration on a time step is terminated. | |
toDom method of Model class | |
Writes the object as an XML object into an output stream. | |
| Inherited from ParameterSet | |
Removes the attribute name. | |
Creates an iterator over the parameter and their values. | |
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Declares a new parameter(s) and its (their) initial value. | |
Declares a set of parameters. | |
(Class method) | |
Removes parameter name from the paramameters. | |
Returns a descrition of the parameters. | |
| Inherited from LinkableObject | |
Returns the value of attribute name. | |
Sets the value for attribute name. | |
Return the object stored for attribute name. | |
Returns True if self as attribute name. | |
If debugging is on, print the message, otherwise do nothing | |
| Inherited from object | |
x.__getattribute__('name') <==> x.name | |
x.__hash__() <==> hash(x) | |
T.__new__(S, ...) -> a new object with type S, a subtype of T | |
helper for pickle | |
helper for pickle | |
| Class Variable Summary | |
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| Inherited from Model | |
float |
UNDEF_DT = 1.0000000000000001e+300 |
| Inherited from LinkableObject | |
count |
number_sequence = <itertools.count object at 0x401ff100>
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| Instance Method Details |
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doInitialization(self)Initializes the time stepping scheme. This function may be overwritten.
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doStepPostprocessing(self, dt)perform taylor galerkin step |
G(self, T, alpha)tangential operator for taylor galerikin |
getSafeTimeStepSize(self, dt)returns new step size |
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