fastga.models.weight.mass_breakdown.a_airframe.a2_fuselage_weight module

Python module for fuselage weight calculation, part of the airframe mass computation.

class fastga.models.weight.mass_breakdown.a_airframe.a2_fuselage_weight.ComputeFuselageWeight(**kwargs)[source]

Bases: openmdao.core.explicitcomponent.ExplicitComponent

Fuselage weight estimation

Based on a statistical analysis. See [NC10] but can also be found in [Gud13].

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.

class fastga.models.weight.mass_breakdown.a_airframe.a2_fuselage_weight.ComputeFuselageWeightRaymer(**kwargs)[source]

Bases: openmdao.core.explicitcomponent.ExplicitComponent

Fuselage weight estimation

Based on : Raymer, Daniel. Aircraft design: a conceptual approach. American Institute of Aeronautics and Astronautics, Inc., 2012.

Can also be found in : Gudmundsson, Snorri. General aviation aircraft design: Applied Methods and Procedures. Butterworth-Heinemann, 2013. Equation (6-25).

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.

class fastga.models.weight.mass_breakdown.a_airframe.a2_fuselage_weight.ComputeFuselageWeightRoskam(**kwargs)[source]

Bases: openmdao.core.explicitcomponent.ExplicitComponent

Fuselage weight estimation, includes the computation of the fuselage weight for a high wing aircraft.

Based on : Roskam. Airplane design - Part 5: component weight estimation

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.