Machine learning in aerodynamic shape optimization
Abstract Machine learning (ML) has been increasingly used to aid aerodynamic shape
optimization (ASO), thanks to the availability of aerodynamic data and continued …
optimization (ASO), thanks to the availability of aerodynamic data and continued …
Aerodynamic design optimization: Challenges and perspectives
JRRA Martins - Computers & Fluids, 2022 - Elsevier
Antony Jameson pioneered CFD-based aerodynamic design optimization in the late 1980s.
In addition to developing the fundamental theory, Jameson implemented that theory in …
In addition to developing the fundamental theory, Jameson implemented that theory in …
Geometric comparison of aerofoil shape parameterization methods
A comprehensive review of aerofoil shape parameterization methods that can be used for
aerodynamic shape optimization is presented. Seven parameterization methods are …
aerodynamic shape optimization is presented. Seven parameterization methods are …
Learning the aerodynamic design of supercritical airfoils through deep reinforcement learning
The aerodynamic design of modern civil aircraft requires a true sense of intelligence since it
requires a good understanding of transonic aerodynamics and sufficient experience …
requires a good understanding of transonic aerodynamics and sufficient experience …
Experimental and numerical study of single bubble dynamics on a hydrophobic surface
The growth and departure of single bubbles on two smooth surfaces with very different
wettabilities are studied using high-speed video microscopy and numerical simulations …
wettabilities are studied using high-speed video microscopy and numerical simulations …
An airfoil shape optimization technique coupling PARSEC parameterization and evolutionary algorithm
In this work an innovative optimization process for airfoil geometry design is introduced. This
procedure is based on the coupling of a PARSEC parameterization for airfoil shape and a …
procedure is based on the coupling of a PARSEC parameterization for airfoil shape and a …
Metric-based mathematical derivation of efficient airfoil design variables
Within an aerodynamic shape optimization framework, an efficient shape parameterization
and deformation scheme is critical to allow flexible deformation of the surface with the …
and deformation scheme is critical to allow flexible deformation of the surface with the …
CFD‐based optimization of aerofoils using radial basis functions for domain element parameterization and mesh deformation
AM Morris, CB Allen… - International journal for …, 2008 - Wiley Online Library
A novel domain element shape parameterization method is presented for computational
fluid dynamics‐based shape optimization. The method is to achieve two aims:(1) provide a …
fluid dynamics‐based shape optimization. The method is to achieve two aims:(1) provide a …
Intuitive class/shape function parameterization for airfoils
F Zhu, N Qin - AIAA journal, 2014 - arc.aiaa.org
An airfoil parameterization method is proposed, which combines the flexibility and accuracy
of Kulfan's class/shape function transformation method and the intuitiveness of Sobieczky's …
of Kulfan's class/shape function transformation method and the intuitiveness of Sobieczky's …
Review of aerofoil parameterisation methods for aerodynamic shape optimisation
This paper presents a review of aerofoil shape parameterisation methods that can be used
for aerodynamic shape optimisation. Six parameterisation methods are considered for a …
for aerodynamic shape optimisation. Six parameterisation methods are considered for a …