This option is used to define electrical conductivity for coupled thermal-electrical elements in coupled thermal-electrical analysis.
Product: ABAQUS/Standard
Type: Model data
Level: Model
Set this parameter equal to the number of field variables included in the definition of electrical conductivity. If this parameter is omitted, the electrical conductivity is assumed not to depend on any field variables but may still depend on temperature. See Specifying field variable dependence” in “Material data definition, Section 9.1.2 of the ABAQUS Analysis User's Manual, for more information.
Set TYPE=ISO (default) to define isotropic electrical conductivity. Set TYPE=ORTHO to define orthotropic electrical conductivity. Set TYPE=ANISO to define fully anisotropic electrical conductivity.
First line:
Electrical conductivity. (Units of CT1L11.)
Temperature.
First field variable.
Second field variable.
Etc., up to six field variables.
Subsequent lines (only needed if the DEPENDENCIES parameter has a value greater than six):
Seventh field variable.
Etc., up to eight field variables per line.
Repeat this set of data lines as often as necessary to define isotropic electrical conductivity as a function of temperature and field variables.
First line:
. (Units of CT1L11.)
.
.
Temperature.
First field variable.
Second field variable.
Etc., up to four field variables.
Subsequent lines (only needed if the DEPENDENCIES parameter has a value greater than four):
Fifth field variable.
Etc., up to eight field variables per line.
Repeat this set of data lines as often as necessary to define orthotropic electrical conductivity as a function of temperature and field variables.
First line:
. (Units of CT1L11.)
.
.
.
.
.
Temperature.
First field variable.
Subsequent lines (only needed if the DEPENDENCIES parameter has a value greater than one):
Second field variable.
Etc., up to eight field variables per line.
Repeat this set of data lines as often as necessary to define anisotropic electrical conductivity as a function of temperature and field variables.