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 …

A review on design of experiments and surrogate models in aircraft real-time and many-query aerodynamic analyses

R Yondo, E Andrés, E Valero - Progress in aerospace sciences, 2018 - Elsevier
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 …

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 …

Issues in deciding whether to use multifidelity surrogates

M Giselle Fernández-Godino, C Park, NH Kim… - Aiaa Journal, 2019 - arc.aiaa.org
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 …

Multi-fidelity Co-Kriging surrogate model for ship hull form optimization

X Liu, W Zhao, D Wan - Ocean Engineering, 2022 - Elsevier
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 …

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 …

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 …

[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 …

[HTML][HTML] Adaptive infill sampling criterion for multi-fidelity gradient-enhanced kriging model

P Hao, S Feng, Y Li, B Wang, H Chen - Structural and Multidisciplinary …, 2020 - Springer
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 …

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 …