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 …
Surrogate-assisted global sensitivity analysis: an overview
K Cheng, Z Lu, C Ling, S Zhou - Structural and Multidisciplinary …, 2020 - Springer
Surrogate models are popular tool to approximate the functional relationship of expensive
simulation models in multiple scientific and engineering disciplines. Successful use of …
simulation models in multiple scientific and engineering disciplines. Successful use of …
Remarks on multi-output Gaussian process regression
Multi-output regression problems have extensively arisen in modern engineering
community. This article investigates the state-of-the-art multi-output Gaussian processes …
community. This article investigates the state-of-the-art multi-output Gaussian processes …
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 …
Model-based methods for continuous and discrete global optimization
T Bartz-Beielstein, M Zaefferer - Applied Soft Computing, 2017 - Elsevier
The use of surrogate models is a standard method for dealing with complex real-world
optimization problems. The first surrogate models were applied to continuous optimization …
optimization problems. The first surrogate models were applied to continuous optimization …
A survey of Bayesian calibration and physics-informed neural networks in scientific modeling
FAC Viana, AK Subramaniyan - Archives of Computational Methods in …, 2021 - Springer
Computer simulations are used to model of complex physical systems. Often, these models
represent the solutions (or at least approximations) to partial differential equations that are …
represent the solutions (or at least approximations) to partial differential equations that are …
A novel sampling method for adaptive gradient-enhanced Kriging
This paper presents a novel infill-sampling strategy for adaptive gradient-enhanced Kriging
(AGEK) that delivers superior results on a limited budget. The primary innovation of this …
(AGEK) that delivers superior results on a limited budget. The primary innovation of this …
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 …
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 …
Kriging-based inverse uncertainty quantification of nuclear fuel performance code BISON fission gas release model using time series measurement data
In nuclear reactor fuel performance simulation, fission gas release (FGR) and swelling
involve treatment of several complicated and interrelated physical processes, which …
involve treatment of several complicated and interrelated physical processes, which …