Survey of multifidelity methods in uncertainty propagation, inference, and optimization
B Peherstorfer, K Willcox, M Gunzburger - Siam Review, 2018 - SIAM
In many situations across computational science and engineering, multiple computational
models are available that describe a system of interest. These different models have varying …
models are available that describe a system of interest. These different models have varying …
A review on design of experiments and surrogate models in aircraft real-time and many-query aerodynamic analyses
Full scale aerodynamic wind tunnel testing, numerical simulation of high dimensional (full-
order) aerodynamic models or flight testing are some of the fundamental but complex steps …
order) aerodynamic models or flight testing are some of the fundamental but complex steps …
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 …
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 …
Review of design optimization methods for turbomachinery aerodynamics
Z Li, X Zheng - Progress in Aerospace Sciences, 2017 - Elsevier
In today's competitive environment, new turbomachinery designs need to be not only more
efficient, quieter, and “greener” but also need to be developed at on much shorter time …
efficient, quieter, and “greener” but also need to be developed at on much shorter time …
Weighted gradient-enhanced kriging for high-dimensional surrogate modeling and design optimization
ZH Han, Y Zhang, CX Song, KS Zhang - Aiaa Journal, 2017 - arc.aiaa.org
A novel formulation of gradient-enhanced surrogate model, called weighted gradient-
enhanced kriging, is proposed and used in combination with the cheap gradients obtained …
enhanced kriging, is proposed and used in combination with the cheap gradients obtained …
[HTML][HTML] An overview of gradient-enhanced metamodels with applications
L Laurent, R Le Riche, B Soulier… - Archives of Computational …, 2019 - Springer
Metamodeling, the science of modeling functions observed at a finite number of points,
benefits from all auxiliary information it can account for. Function gradients are a common …
benefits from all auxiliary information it can account for. Function gradients are a common …
[HTML][HTML] Adaptive infill sampling criterion for multi-fidelity gradient-enhanced kriging model
Multi-fidelity surrogate (MFS) method is very promising for the optimization of complex
problems. The optimization capability of MFS can be improved by infilling samples in the …
problems. The optimization capability of MFS can be improved by infilling samples in the …
Derivative-enhanced variable fidelity surrogate modeling for aerodynamic functions
W Yamazaki, DJ Mavriplis - AIAA journal, 2013 - arc.aiaa.org
In this paper a derivative-enhanced variable-fidelity surrogate model approach is developed
based on a cokriging formulation. In this approach the absolute values of a high-fidelity …
based on a cokriging formulation. In this approach the absolute values of a high-fidelity …