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 …

Review and prospect of supersonic business jet design

Y Sun, H Smith - Progress in Aerospace Sciences, 2017 - Elsevier
This paper reviews the environmental issues and challenges appropriate to the design of
supersonic business jets (SSBJs). There has been a renewed, worldwide interest in …

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 …

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 …

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 …

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 …

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 …

Multi-fidelity non-intrusive polynomial chaos based on regression

PS Palar, T Tsuchiya, GT Parks - Computer Methods in Applied Mechanics …, 2016 - Elsevier
In this paper we present a multi-fidelity (MF) extension of non-intrusive polynomial chaos
based on regression (point collocation) for uncertainty quantification purposes. The …

A vehicle design and optimization model for on-demand aviation

A Brown, W Harris - 2018 AIAA/ASCE/AHS/ASC structures, structural …, 2018 - arc.aiaa.org
Vcruise Cruising flight speed Vloiter Loiter flight speed VFR Visual Flight Rules VTOL
Vertical Takeoff and Landing W Vehicle weight y Observer ground location z Vehicle height …