fastga.models.geometry.geom_components.vt.components.compute_vt_mac module

Estimation of vertical tail mean aerodynamic chords

class fastga.models.geometry.geom_components.vt.components.compute_vt_mac.ComputeVTMacFD(**kwargs)

Bases: openmdao.core.explicitcomponent.ExplicitComponent

Vertical tail mean aerodynamic chord estimation based on (F)ixed tail (D)istance.

Store some bound methods so we can detect runtime overrides.

setup()

Declare inputs and outputs.

Available attributes:

name pathname comm options

compute(inputs, outputs, discrete_inputs=None, discrete_outputs=None)

Compute outputs given inputs. The model is assumed to be in an unscaled state.

Parameters

• inputs (Vector) – Unscaled, dimensional input variables read via inputs[key].

• outputs (Vector) – Unscaled, dimensional output variables read via outputs[key].

• discrete_inputs (dict or None) – If not None, dict containing discrete input values.

• discrete_outputs (dict or None) – If not None, dict containing discrete output values.

class fastga.models.geometry.geom_components.vt.components.compute_vt_mac.ComputeVTMacFL(**kwargs)

Bases: openmdao.core.explicitcomponent.ExplicitComponent

Vertical tail mean aerodynamic chord estimation based on (F)ixed fuselage (L)ength (VTP distance computed).

Store some bound methods so we can detect runtime overrides.

setup()

Declare inputs and outputs.

Available attributes:

name pathname comm options

compute(inputs, outputs, discrete_inputs=None, discrete_outputs=None)

Compute outputs given inputs. The model is assumed to be in an unscaled state.

Parameters

• inputs (Vector) – Unscaled, dimensional input variables read via inputs[key].

• outputs (Vector) – Unscaled, dimensional output variables read via outputs[key].

• discrete_inputs (dict or None) – If not None, dict containing discrete input values.

• discrete_outputs (dict or None) – If not None, dict containing discrete output values.