[HTML][HTML] State-of-the-art in aerodynamic shape optimisation methods
SN Skinner, H Zare-Behtash - Applied Soft Computing, 2018 - Elsevier
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 …
Review of multi-fidelity models
MG Fernández-Godino - arXiv preprint arXiv:1609.07196, 2016 - arxiv.org
This article provides an overview of multi-fidelity modeling trends. Fidelity in modeling refers
to the level of detail and accuracy provided by a predictive model or simulation. Generally …
to the level of detail and accuracy provided by a predictive model or simulation. Generally …
Issues in deciding whether to use multifidelity surrogates
Multifidelity surrogates are essential in cases where it is not affordable to have more than a
few high-fidelity samples, but it is affordable to have as many low-fidelity samples as …
few high-fidelity samples, but it is affordable to have as many low-fidelity samples as …
Hierarchical kriging model for variable-fidelity surrogate modeling
ZH Han, S Görtz - AIAA journal, 2012 - arc.aiaa.org
SURROGATE modeling plays an increasingly important role in different areas of aerospace
science and engineering, such as aerodynamic data production, aerodynamic shape …
science and engineering, such as aerodynamic data production, aerodynamic shape …
Multi-fidelity Co-Kriging surrogate model for ship hull form optimization
For the simulation-based hull form optimization design, there are many methods to evaluate
the hydrodynamic performance of the hull form. Although the high fidelity of the surrogate …
the hydrodynamic performance of the hull form. Although the high fidelity of the surrogate …
Remarks on multi-fidelity surrogates
Different multi-fidelity surrogate (MFS) frameworks have been used for optimization or
uncertainty quantification. This paper investigates differences between various MFS …
uncertainty quantification. This paper investigates differences between various MFS …
Improving variable-fidelity surrogate modeling via gradient-enhanced kriging and a generalized hybrid bridge function
ZH Han, S Görtz, R Zimmermann - Aerospace Science and technology, 2013 - Elsevier
Variable-fidelity surrogate modeling offers an efficient way to generate aerodynamic data for
aero-loads prediction based on a set of CFD methods with varying degree of fidelity and …
aero-loads prediction based on a set of CFD methods with varying degree of fidelity and …
A generalized approximate control variate framework for multifidelity uncertainty quantification
AA Gorodetsky, G Geraci, MS Eldred… - Journal of Computational …, 2020 - Elsevier
We describe and analyze a variance reduction approach for Monte Carlo (MC) sampling that
accelerates the estimation of statistics of computationally expensive simulation models using …
accelerates the estimation of statistics of computationally expensive simulation models using …
Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities, application to aerospace systems
The design process of complex systems such as new configurations of aircraft or launch
vehicles is usually decomposed in different phases which are characterized by the depth of …
vehicles is usually decomposed in different phases which are characterized by the depth of …
Alternative cokriging method for variable-fidelity surrogate modeling
ZH Han, Zimmermann, S Görtz - AIAA journal, 2012 - arc.aiaa.org
SURROGATE modeling plays an increasingly important role in different areas of aerospace
engineering, such as aerodynamic shape optimization, aerodynamic data production …
engineering, such as aerodynamic shape optimization, aerodynamic data production …