Multidisciplinary optimization of transonic wing using evolutionary algorithm

Abstract

This paper presents the importance of multidisciplinary optimization and its promising results. Evolutionary algorithm is applied which takes into account the aerodynamics and structure of transonic wing. Some classical and widely accepted principles are applied to predict the performance of the wing. Aerodynamic module calculates the induced drag of the wing using multiple lifting line theory. The friction/form drag is calculated by wetted area and using the prediction of skin friction models and form-factor estimation. Total drag is then calculated by summing the induced drag, friction drag and the wave drag, from Korn equation. To estimate the bending material weight, wing is modeled as double-plate wing box. Trade-off between minimum drag and minimum weight is studied. The dependency of the design space on specific wing parameters has also been studied. A significant improvement in the performance of a transonic transport aircraft wing can be achieved using the multidisciplinary optimization technique.