fastga.models.propulsion.fuel_propulsion.basicTurbo_prop.turboprop_components.exhaust_equilibrium module

class fastga.models.propulsion.fuel_propulsion.basicTurbo_prop.turboprop_components.exhaust_equilibrium.ExhaustEquilibrium(**kwargs)[source]

Bases: openmdao.core.implicitcomponent.ImplicitComponent

Store some bound methods so we can detect runtime overrides.

initialize()[source]

Perform any one-time initialization run at instantiation.

setup()[source]

Declare inputs and outputs.

Available attributes:

name pathname comm options

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

Compute residuals given inputs and outputs.

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].

  • residuals (Vector) – Unscaled, dimensional residuals written to via residuals[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.

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

Compute sub-jacobian parts and any applicable matrix factorizations.

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].

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

  • 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.