propulsion module¶

Propulsion discipline for the Sobieski’s SSBJ use case.

class gemseo.problems.sobieski.core.propulsion.SobieskiPropulsion(sobieski_base)[source]¶

Propulsion discipline for the Sobieski’s SSBJ use case.

Parameters: sobieski_base (gemseo.problems.sobieski.core.utils.SobieskiBase) – The Sobieski base.
Return type: None

execute(x_shared, y_23, x_3, true_cstr=False, c_3=None)[source]¶

Compute the fuel consumption, engine weight and engine scale factor.

Parameters

x_shared (ndarray) – The values of the shared design variables, where x_shared[0] is the thickness/chord ratio, x_shared[1] is the altitude, x_shared[2] is the Mach number, x_shared[3] is the aspect ratio, x_shared[4] is the wing sweep and x_shared[5] is the wing surface area.
y_23 (ndarray) – The drag coefficient.
x_3 (ndarray) – The throttle.
true_cstr (bool) –
If True, return the value of the constraint outputs. Otherwise, return the distance to the corresponding constraint thresholds.

By default it is set to False.
c_3 (float | None) –
The reference engine weight. If None, use SobieskiBase.constants().

By default it is set to None.

Returns

y_3: The outputs of the propulsion analysis:
- y_3[0]: the specific fuel consumption,
- y_3[1]: the engine weight,
- y_3[2]: the engine scale factor,
g_3: The propulsion outputs to be constrained:
- g_3[0]: the engine scale factor,
- g_3[1]: the engine temperature,
- g_3[2]: the throttle setting.

Return type

The propulsion outputs

linearize(x_shared, y_23, x_3, true_cstr=False, c_3=None)[source]¶

Derive the fuel consumption, engine weight and engine scale factor.

Parameters

x_shared (ndarray) – The values of the shared design variables, where x_shared[0] is the thickness/chord ratio, x_shared[1] is the altitude, x_shared[2] is the Mach number, x_shared[3] is the aspect ratio, x_shared[4] is the wing sweep and x_shared[5] is the wing surface area.
y_23 (ndarray) – The drag coefficient.
x_3 (ndarray) – The throttle.
true_cstr (bool) –
If True, return the value of the constraint outputs. Otherwise, return the distance to the corresponding constraint thresholds.

By default it is set to False.
c_3 (float | None) –
The reference engine weight. If None, use SobieskiBase.constants().

By default it is set to None.

Returns

The Jacobian of the discipline.

Return type

dict[str, dict[str, ndarray]]