Journal ArticleDOI
Improving variable-fidelity surrogate modeling via gradient-enhanced kriging and a generalized hybrid bridge function
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TLDR
It is shown that the gradient-enhanced GHBF proposed in this paper is very promising and can be used to significantly improve the efficiency, accuracy and robustness of VFM in the context of aero-loads prediction.About:
This article is published in Aerospace Science and Technology.The article was published on 2013-03-01. It has received 313 citations till now. The article focuses on the topics: Surrogate model & Kriging.read more
Citations
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Journal ArticleDOI
Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization
TL;DR: In many situations across computational science and engineering, multiple computational models are available that describe a system of interest as discussed by the authors, and these different models have varying evaluation costs, i.e.
Journal ArticleDOI
Hierarchical Kriging Model for Variable-Fidelity Surrogate Modeling
Zhong-Hua Han,Stefan Görtz +1 more
TL;DR: It is observed that hierarchical kriging provides a more reasonable mean-squared-error estimation than traditional cokriging and can be applied to the efficient aerodynamic analysis and shape optimization of aircraft or anywhere where computer codes of varying fidelity are in use.
Journal ArticleDOI
A survey of adaptive sampling for global metamodeling in support of simulation-based complex engineering design
TL;DR: This article categorizes, reviews, and analyzes the state-of-the-art single−/multi-response adaptive sampling approaches for global metamodeling in support of simulation-based engineering design and discusses some important issues that affect the success of an adaptive sampling approach.
Journal ArticleDOI
Review of multi-fidelity models
TL;DR: It is found that time savings are highly problem dependent and that MFM methods provided time savings up to 90% and guidelines for authors to present their MFM savings in a way that is useful to future MFM users are included.
Journal ArticleDOI
A Python surrogate modeling framework with derivatives
Mohamed Amine Bouhlel,John T. Hwang,Nathalie Bartoli,Rémi Lafage,Joseph Morlier,Joaquim R. R. A. Martins +5 more
TL;DR: The surrogate modeling toolbox (SMT) is an open-source Python package that contains a collection of surrogate modeling methods, sampling techniques, and benchmarking functions that provides a library of surrogate models that is simple to use and facilitates the implementation of additional methods.
References
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BookDOI
MEGAFLOW - Numerical Flow Simulation for Aircraft Design
Norbert Kroll,Jens K. Fassbender +1 more
Proceedings ArticleDOI
A New Cokriging Method for Variable-Fidelity Surrogate Modeling of Aerodynamic Data
TL;DR: The developed cokriging method is validated against an analytical problem and applied to construct global approximation models of the aerodynamic coefficients as well as the drag polar of an RAE 2822 airfoil based on sampled CFD data, showing it is efficient, robust and practical for the surrogate modeling of aerodynamic data based on a set of CFD methods with varying degrees of fidelity and computational expense.
Journal ArticleDOI
Multifidelity surrogate modeling of experimental and computational aerodynamic data sets
TL;DR: This study highlights how lowf fidelity data from computations contribute to improving surrogate models built with limited high-fidelity data from experiments, and presents a multifidelity cokriging regression surrogate model used.
Journal ArticleDOI
Effect of Approximations of the Discrete Adjoint on Gradient-Based Optimization
Richard P. Dwight,Joel Brezillon +1 more
TL;DR: Various approximations to the adjoint are derived with the intention of simplifying the development and memory requirements of the method, and the accuracy of the resulting design gradients is studied, as it applies to a two-dimensional high-lift conguration.
Proceedings ArticleDOI
First-Order Model Management With Variable-Fidelity Physics Applied to Multi-Element Airfoil Optimization
TL;DR: The performance of model management on an aerodynamic optimization of a multi-element airfoil designed to operate in the transonic regime yields fivefold savings in terms of high-fidelity evaluations compared to optimization done with high- fidelity computations alone.
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