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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Dissertation
Full-field multi-fidelity surrogate models for optimal design of turbomachines
TL;DR: This thesis introduces and validates optimization techniques assisted by full-field Multi-Fidelity Surrogate Models (MFSMs) based on Proper Orthogonal Decomposition (POD), and proposes a multi-fidelity extension to Non-Intrusive POD (NIPOD) models.
Proceedings ArticleDOI
Multi-fidelity extension to non-intrusive proper orthogonal decomposition based surrogates
TL;DR: The proposed strategy aims at fusing multiple fidelity levels of simulation to improve the quality of surrogate models exploited in automated optimization loops of industrial-scale problems.
Journal ArticleDOI
Kriging-based multi-fidelity optimization via information fusion with uncertainty
TL;DR: The newly introduced MFOIFU combines prediction uncertainty of kriging and model uncertainty, aiming at reducing computational cost of optimization and guaranteeing reliability of the optima.
Proceedings ArticleDOI
Variable-Fidelity Design Method Using Gradient-Enhanced Kriging Surrogate Model with Regression
TL;DR: The purpose of the current work is to develop e cient and yet accurate design optimization framework using variabledelity aerodynamic analysis using the Kriging surrogate model-based EGO design framework.
Book ChapterDOI
Variable-Fidelity and Reduced-Order Models for Aero Data for Loads Predictions
TL;DR: In this article, a physics-based approach to reduced-order modeling based on proper orthogonal decomposition of snapshots of the full-order CFD model, and a mathematical approach to variable-fidelity modeling that aims at combining many low-Fidelity CFD results with as few high-CFD results as possible using bridge functions and variants of Kriging and Cokriging are presented.
References
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The design and analysis of computer experiments
TL;DR: This paper presents a meta-modelling framework for estimating Output from Computer Experiments-Predicting Output from Training Data and Criteria Based Designs for computer Experiments.
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Principles of geostatistics
TL;DR: In this article, the authors present a new science leading to such an approach, namely geostatistics, which is a new approach for estimating the estimation of ore grades and reserves.
Journal Article
A statistical approach to some basic mine valuation problems on the Witwatersrand
TL;DR: In this paper, the application of the lognormal curve to the frequency distribution of gold values is discussed, and some fundamental concepts in application of statistics to mine valuation on the Witwatersrand are discussed.
Journal ArticleDOI
Recent advances in surrogate-based optimization
TL;DR: The present state of the art of constructing surrogate models and their use in optimization strategies is reviewed and extensive use of pictorial examples are made to give guidance as to each method's strengths and weaknesses.
Journal ArticleDOI
A Trust Region Framework for Managing the Use of Approximation Models in Optimization
TL;DR: An analytically robust, globally convergent approach to managing the use of approximation models of varying fidelity in optimization, based on the trust region idea from nonlinear programming, which is shown to be provably convergent to a solution of the original high-fidelity problem.
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