Efficient aerodynamic shape optimization with deep-learning-based geometric filtering
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 …
been limited due to the curse of dimensionality. Although a large number of variables are …
Deep-learning-based precise characterization of microwave transistors using fully-automated regression surrogates
Accurate models of scattering and noise parameters of transistors are instrumental in
facilitating design procedures of microwave devices such as low-noise amplifiers. Yet, data …
facilitating design procedures of microwave devices such as low-noise amplifiers. Yet, data …
Aerodynamic shape optimization by variable-fidelity computational fluid dynamics models: a review of recent progress
A brief review of some recent variable-fidelity aerodynamic shape optimization methods is
presented. We discuss three techniques that—by exploiting information embedded in low …
presented. We discuss three techniques that—by exploiting information embedded in low …
Enhanced data efficiency using deep neural networks and Gaussian processes for aerodynamic design optimization
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 …
due to their computational costs being independent of the dimensionality of the input space …
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 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 …
Surrogate modelling and optimization using shape-preserving response prediction: A review
Computer simulation models are ubiquitous in modern engineering design. In many cases,
they are the only way to evaluate a given design with sufficient fidelity. Unfortunately, an …
they are the only way to evaluate a given design with sufficient fidelity. Unfortunately, an …
Optimization and comparison of strut-braced and high aspect ratio wing aircraft configurations including flutter analysis with geometric non-linearities
Novel aircraft designs employing wings with high aspect ratio, such as the strut-braced wing
(SBW), are one way to reduce their environmental impact. However, the flexibility of longer …
(SBW), are one way to reduce their environmental impact. However, the flexibility of longer …
[BOOK][B] Simulation-driven design by knowledge-based response correction techniques
S Koziel, L Leifsson - 2016 - Springer
Computer simulation models have become the most important design tools in the majority of
engineering disciplines. They are used for verification purposes but also directly in the …
engineering disciplines. They are used for verification purposes but also directly in the …