The Wing weight function¶
The Wing weight function of Forrester et al. (2008) is a recurrent test case for modeling purpose and sensitivity analysis in aerospace context. This function is extracted and adapted from the Raymer handbook for aircraft design. It is representative of a Cessna C172 Skyhawk wing aircraft. It depends on the wing area, the weight of fuel in the wing, the aspect ratio, the quarter-chord sweep angle, the dynamic pressure at cruise, the taper ratio, the airfoil thickness to chord ratio, the ultimate load factor, the flight design gross weight and the paint weight.
The function is defined as follows:
with:
, the wing area (ft^2)
, the weight of fuel in the wing (lb)
, the aspect ratio (-)
, the quarter-chord sweep angle (deg)
, the dynamic pressure at cruise (lb/ft^2)
, the taper ratio (-)
, the airfoil thickness to chord ratio (-)
, the ultimate load factor (-)
, the flight design gross weight (lb)
, the paint weight (lb/ft^2)
We assume that the input variables are independent.
References¶
Forrester, A., Sobester, A., & Keane, A. (2008). Engineering design via surrogate modelling: a practical guide. Wiley.
Moon, H., Dean, A. M., & Santner, T. J. (2012). Two-stage sensitivity-based group screening in computer experiments. Technometrics, 54(4), 376-387.
Raymer D.P. (2018). Aircraft Design: a conceptual approach. American Institute of Aeronautics and Astronautics.
API documentation¶
- class WingWeightModel
Data class for the Wing weight model.
Examples
>>> from openturns.usecases import wingweight_function >>> # Load the Wing weight model >>> ww = wingweight_function.WingWeightModel()
- Attributes:
- dimThe dimension of the problem
dim = 10
- SwWing area (ft^2),
Uniform
distribution First marginal, ot.Uniform(150, 200)
- WfwWeight of fuel in the wing (lb),
Uniform
distribution Second marginal, ot.Uniform(220, 300)
- AAspect ratio (-),
Uniform
distribution Third marginal, ot.Uniform(6, 10)
- LambdaQuarter chord sweep (deg),
Uniform
distribution Fourth marginal, ot.Uniform(-10, 10)
- qDynamic pressure at cruise (lb/ft^2),
Uniform
distribution Fifth marginal, ot.Uniform(16, 45 )
- lTaper ratio (-),
Uniform
distribution Sixth marginal, ot.Uniform(0.5, 1)
- tcAirfoil thickness to chord ratio (-),
Uniform
distribution Seventh marginal, ot.Uniform(0.08, 0.18)
- NzUltimate load factor (-),
Uniform
distribution Eighth marginal, ot.Uniform(2.5, 6)
- WdgFlight design gross weight (lb),
Uniform
distribution Nineth marginal, ot.Uniform(1700, 2500)
- WpPaint weight (lb/ft^2),
Uniform
distribution Tenth marginal, ot.Uniform(0.025, 0.08)
- distributionX
JointDistribution
The joint distribution of the input parameters.
- model
PythonFunction
The Wing weight model with Sw, Wfw, A, Lambda, q, l, tc, Nz, Wdg and Wp as variables.
Examples based on this use case¶
Example of sensitivity analyses on the wing weight model