General framework for attributing properties to geometrical elements.
Properties can really be just about any Python object. Properties can be attributed to a set of geometrical elements.
Classes defined in module properties
A class for storing properties in a database.
Methods
Import all records from a database file.
For now, it can only read databases using flatkeydb. args and kargs can be used to specify arguments for the FlatDB constructor.
A class for storing material properties.
Methods
A class for storing section properties.
Methods
Properties related to the section of an element.
An element section property can hold the following sub-properties:
the geometric properties of the section. This can be a dict or a string. If it is a string, its value is looked up in the global section database. The required data in the dict depend on the sectiontype. Currently the following keys are used by fe_abq.py:
the type of section: should be one of following:
!! Currently only ‘solid’ and ‘general’ are allowed.
Attributes
Methods
Create or replace the section properties of the element.
If ‘section’ is a dict, it will be added to ‘self.secDB’. If ‘section’ is a string, this string will be used as a key to search in ‘self.secDB’.
Compute the section characteristics of specific sections.
Create or replace the material properties of the element.
If the argument is a dict, it will be added to ‘self.matDB’. If the argument is a string, this string will be used as a key to search in ‘self.matDB’.
Distributed loading on an element.
Methods
Distributed loading on an element edge.
Methods
A class for storing coordinate systems.
A class for storing an amplitude.
The amplitude is a list of tuples (time,value).
A database class for all properties.
This class collects all properties that can be set on a geometrical model.
This should allow for storing:
Methods
Set the materials database to an external source
Set the sections database to an external source
Create a new property, empty by default.
A property can hold almost anything, just like any Dict type. It has however four predefined keys that should not be used for anything else than explained hereafter:
Besides these, any other fields may be defined and will be added without checking.
Return all properties of type kind matching tag and having attr.
kind is either ‘’, ‘n’, ‘e’ or ‘m’ If rec is given, it is a list of record numbers or a single number. If a tag or a list of tags is given, only the properties having a matching tag attribute are returned.
attr and noattr are lists of attributes. Only the properties having all the attributes in attr and none of the properties in noattr are returned. Attributes whose value is None are treated as non-existing.
If delete==True, the returned properties are removed from the database.
Delete properties.
This is equivalent to getProp() but the returned properties are removed from the database.
Create a new node property, empty by default.
A node property can contain any combination of the following fields:
Create a new element property, empty by default.
An elem property can contain any combination of the following fields:
Functions defined in module properties
Check that a variable is a list of (id,value) tuples
id should be convertible to an int, value to a float. If ok, return the values as a list of (int,float) tuples.
Check that a variable is an list of values or (id,value) tuples
This convenience function checks that the argument is either:
If ok, return the values as a list of (int,float) tuples.
Check that a string a has one of the valid values.
This is case insensitive, and returns the upper case string if valid. Else, an error is raised.
Find the item p in the list l.
If p is an item in the list (not a copy of it!), this returns its position. Else, -1 is returned.
Matches are found with a ‘is’ function, not an ‘==’. Only the first match will be reported.
Remove the item p from the list l.
If p is an item in the list (not a copy of it!), it is removed from the list. Matches are found with a ‘is’ comparison. This is different from the normal Python list.remove() method, which uses ‘==’. As a result, we can find complex objects which do not allow ‘==’, such as ndarrays.