Abstract Machine learning (ML) has been increasingly used to aid aerodynamic shape
optimization (ASO), thanks to the availability of aerodynamic data and continued …

As climate change is exacerbated and existing resources are depleted, the need for
sustainable industries becomes ever so important. Aviation is not an exception. Despite the …

Antony Jameson pioneered CFD-based aerodynamic design optimization in the late 1980s.
In addition to develo** the fundamental theory, Jameson implemented that theory in …

In recent decades, the environmental impacts of aviation have become a key challenge for
the aeronautical community. Advanced and well-established technologies such as active …

Aerodynamic optimization based on computational fluid dynamics (CFD) is a powerful
design approach because it significantly reduces the design time compared with the human …

Robust optimization design is significant and urgently required for the fly wings, owing to its
unique characteristics. However, there is a lack of efficient tools for performing shape …

Mesh generation and deformation are critical elements in gradient-based aerodynamic
shape optimization (ASO). Improperly generated or deformed meshes may contain bad …

As a high-fidelity approach to transition prediction, the coupled Reynolds-averaged Navier–
Stokes (RANS) and linear stability theory (LST)-based e N method is widely used in …

Computational fluid dynamics through the solution of the Navier–Stokes equations with
turbulence models has become commonplace. However, simply solving these equations is …

Surrogate-based optimization has been used in aerodynamic shape optimization, but it has
been limited due to the curse of dimensionality. Although a large number of variables are …