GapFlow object

The GapFlow object specifies tangential flow constitutive parameters for pore pressure cohesive elements.

The following topics are discussed:

Access

import material
mdb.models[name].materials[name].gapFlow
import odbMaterial
session.odbs[name].materials[name].gapFlow

GapFlow(...)

This method creates a GapFlow object.

Path

mdb.models[name].materials[name].GapFlow
session.odbs[name].materials[name].GapFlow

Required arguments

table

A sequence of sequences of Floats specifying the items described below.

Optional arguments

kmax

None or a Float specifying the maximum permeability value that should be used. If kmax=None, Abaqus assumes that the permeability is not bounded. This value is meaningful only when type=NEWTONIAN. The default value is None.

temperatureDependency

A Boolean specifying whether the data depend on temperature. The default value is OFF.

dependencies

An Int specifying the number of field variable dependencies. The default value is 0.

type

A SymbolicConstant specifying the type of gap flow. Possible values are NEWTONIAN and POWER_LAW. The default value is NEWTONIAN.

Table data

If type=NEWTONIAN the table data specify the following:

  • Pore viscosity.

  • Temperature, if the data depend on temperature.

  • Value of the first field variable, if the data depend on field variables.

  • Value of the second field variable.

  • Etc.

If type=POWER_LAW the table data specify the following:

  • Consistency.

  • Exponent.

  • Temperature, if the data depend on temperature.

  • Value of the first field variable, if the data depend on field variables.

  • Value of the second field variable.

  • Etc.

Return value

A GapFlow object.

Exceptions

None.

setValues(...)

This method modifies the GapFlow object.

Required arguments

None.

Optional arguments

The optional arguments to setValues are the same as the arguments to the GapFlow method.

Return value

None.

Exceptions

None.

Members

The GapFlow object has members with the same names and descriptions as the arguments to the GapFlow method.

Corresponding analysis keywords