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 develo** the fundamental theory, Jameson implemented that theory in …
In addition to develo** the fundamental theory, Jameson implemented that theory in …
[HTML][HTML] State-of-the-art in aerodynamic shape optimisation methods
Aerodynamic optimisation has become an indispensable component for any aerodynamic
design over the past 60 years, with applications to aircraft, cars, trains, bridges, wind …
design over the past 60 years, with applications to aircraft, cars, trains, bridges, wind …
[HTML][HTML] Efficient aerodynamic shape optimization using variable-fidelity surrogate models and multilevel computational grids
A variable-fidelity method can remarkably improve the efficiency of a design optimization
based on a high-fidelity and expensive numerical simulation, with assistance of lower-fidelity …
based on a high-fidelity and expensive numerical simulation, with assistance of lower-fidelity …
Robust aerodynamic shape optimization—from a circle to an airfoil
Aerodynamic design optimization currently lacks robustness with respect to the starting
design and requires trial and error in the flow solver and optimization algorithm settings to …
design and requires trial and error in the flow solver and optimization algorithm settings to …
Multiple penalties and multiple local surrogates for expensive constrained optimization
This article proposes an evolutionary algorithm using multiple penalties and multiple local
surrogates (MPMLS) for expensive constrained optimization. In each generation, MPMLS …
surrogates (MPMLS) for expensive constrained optimization. In each generation, MPMLS …
Efficient aerodynamic shape optimization of transonic wings using a parallel infilling strategy and surrogate models
J Liu, WP Song, ZH Han, Y Zhang - Structural and Multidisciplinary …, 2017 - Springer
Surrogate models are used to dramatically improve the design efficiency of numerical
aerodynamic shape optimization, where high-fidelity, expensive computational fluid …
aerodynamic shape optimization, where high-fidelity, expensive computational fluid …
Variable-fidelity expected improvement method for efficient global optimization of expensive functions
Y Zhang, ZH Han, KS Zhang - Structural and Multidisciplinary Optimization, 2018 - Springer
The efficient global optimization method (EGO) based on kriging surrogate model and
expected improvement (EI) has received much attention for optimization of high-fidelity …
expected improvement (EI) has received much attention for optimization of high-fidelity …
Surrogate-based aerodynamic shape optimization of a morphing wing considering a wide Mach-number range
B Liu, H Liang, ZH Han, G Yang - Aerospace Science and Technology, 2022 - Elsevier
Aerodynamic shape design considering both subsonic and hypersonic performance is a
challenge in the field of aerospace. Many studies have shown that morphing wing is a …
challenge in the field of aerospace. Many studies have shown that morphing wing is a …
Surrogate-based aerodynamic shape optimization of hypersonic flows considering transonic performance
Aerodynamic shape optimization of a hypersonic transport aircraft over a wide Mach-number
range is challenging. The difficulty is not only associated with the large computational cost of …
range is challenging. The difficulty is not only associated with the large computational cost of …
[HTML][HTML] Aerodynamic/aeroacoustic variable-fidelity optimization of helicopter rotor based on hierarchical Kriging model
BU Yuepeng, S Wen**, HAN Zhonghua… - Chinese Journal of …, 2020 - Elsevier
Rotor noise is one of the most important reasons for restricting helicopter development;
hence, the optimization design of rotor blade considering aeroacoustic and aerodynamic …
hence, the optimization design of rotor blade considering aeroacoustic and aerodynamic …