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

Python module for the calculation of vertical tail distance from 25% wing MAC with fixed distance between MACs, part of the vertical tail geometry.

class fastga.models.geometry.geom_components.vt.components.compute_vt_distance_fd.ComputeVTMACDistanceFD(**kwargs)[source]

Bases: openmdao.core.explicitcomponent.ExplicitComponent

Vertical tail mean aerodynamic chord distance estimation based on (F)ixed tail (D)istance from the wing.

Store some bound methods so we can detect runtime overrides.

setup()[source]

Declare inputs and outputs.

Available attributes:

name pathname comm options

compute(inputs, outputs, discrete_inputs=None, discrete_outputs=None)[source]

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.

compute_partials(inputs, partials, discrete_inputs=None)[source]

Compute sub-jacobian parts. The model is assumed to be in an unscaled state.

Parameters

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

  • partials (Jacobian) – Sub-jac components written to partials[output_name, input_name]..

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