Adjoint-based optimization methods are attractive for aerodynamic shape design primarily
due to their computational costs being independent of the dimensionality of the input space …

Conventional aerodynamic inverse design (AID) methods have major limitations in terms of
optimality and actuality of target parameter distribution. In this research, the target pressure …

A physics-based reduced order model is presented as a viable approach to accurately
predict unsteady flowfield solutions at a fraction of the computational time that is required by …

This paper presents the effect of wing elasticity on the efficiency of a nonintrusive reduced
order model using a three-dimensional sweptback wing. For this purpose, a computationally …

Aerodynamic shape refinement optimization for passenger aircraft is difficult and requires a
significant workload. The adjoint-based gradient optimization method can quickly find local …

This work presents the development of a reduced order compartment model for a counter-
current spray dryer. The compartment model is formulated using adaptable compartments …

As a core component of an aero-engine, the aerodynamic performance of the nacelle is
essential for the overall performance of an aircraft. However, the direct design of a three …

This article presents a reduced-order modeling methodology via deep convolutional neural
networks (CNNs) for shape optimization applications. The CNN provides a nonlinear …

Fast and accurate evaluation of aerodynamic characteristics is essential for aerodynamic
design optimization because aircraft programs require many years of design and …

This work presents a strategy to build reduced-order models suitable for aerodynamic shape
optimisation, resulting in a multifidelity optimisation framework. A reduced-order model …