fastga.models.weight.mass_breakdown.a_airframe.a31_tail_htp_weight module

Python module for htp weight calculation, part of the tail mass computation.

class fastga.models.weight.mass_breakdown.a_airframe.a31_tail_htp_weight.ComputeHTPWeight(**kwargs)[source]

Bases: openmdao.core.explicitcomponent.ExplicitComponent

Weight estimation for htp weight

Based on a statistical analysis. See [Ray12] 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.a31_tail_htp_weight.ComputeHTPWeightGD(**kwargs)[source]

Bases: openmdao.core.explicitcomponent.ExplicitComponent

Weight estimation for htp weight

Based on a statistical analysis. See [Ros85a] traditionally used on commercial aircraft but found to work fairly well on high performance GA aircraft.

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.a31_tail_htp_weight.ComputeHTPWeightTorenbeek(**kwargs)[source]

Bases: openmdao.core.explicitcomponent.ExplicitComponent

Weight estimation for htp weight

Based on a statistical analysis. See [Ros85a] traditionally used on commercial aircraft but found to work fairly well on high performance GA aircraft. Should only be used with aircraft having a diving speed above 250 KEAS.

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.