OptimizationObjective.py

import typing

from abaqusConstants import *


class OptimizationObjective:
    """An OptimizationObjective is an object used to define objectives in an objective
    function.

    Attributes
    ----------
    suppress: Boolean
        A Boolean specifying whe:py:class:`~.the`r :py:class:`~.the` objective is suppressed or not. The default value is
        OFF.
    weight: float
        A Float specifying the weight applied to the design response value. The default value is
        1.0.
    referenceValue: typing.Union[SymbolicConstant, float]
        The SymbolicConstant DEFAULT or a Float specifying the reference value used in
        evaluating a design response. For topology optimization, DEFAULT> indicates the
        reference value is 0. For shape optimization, DEFAULT indicates the reference value is
        the nodal average. The default value is DEFAULT.
    designResponse: str
        A String specifying the name of the design response.

    Notes
    -----
    This object can be accessed by:

    .. code-block:: python

        import optimization
        mdb.models[name].optimizationTasks[name].objectiveFunctions[name].objectives[i]

    """

    # A Boolean specifying whether the objective is suppressed or not. The default value is
    # OFF.
    suppress: Boolean = OFF

    # A Float specifying the weight applied to the design response value. The default value is
    # 1.0.
    weight: float = 1

    # The SymbolicConstant DEFAULT or a Float specifying the reference value used in
    # evaluating a design response. For topology optimization, DEFAULT> indicates the
    # reference value is 0. For shape optimization, DEFAULT indicates the reference value is
    # the nodal average. The default value is DEFAULT.
    referenceValue: typing.Union[SymbolicConstant, float] = DEFAULT

    # A String specifying the name of the design response.
    designResponse: str = ""