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

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

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

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 …

Low-Reynolds-number high-lift airfoil design is critical to the performance of unmanned
aerial vehicles (UAV). However, since laminar-to-turbulent transition dominates the …

Geometric filtering based on deep-learning models has been shown to be effective to shrink
the design space and improve the efficiency of aerodynamic shape optimization. However …

Aircraft design is a trade-off among different objectives and constraints, so multiple design
rounds are usually required. Aerodynamic shape optimization based on high-fidelity …

Wind energy is a clean, sustainable energy source crucial in transitioning to a low-carbon
energy system. Wind power has become an affordable source due to technological …

In the context of aircraft applications, the overall design process can be challenging due to
the different aerodynamic requirements at several operating conditions and the total …

Airfoil aerodynamic optimization is of great importance in aircraft design; however, it relies
on high-fidelity physics-based models that are computationally expensive to evaluate. In this …