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
Modified Multifidelity Surrogate Model Based on Radial Basis Function with Adaptive Scale Factor
TL;DR: In this paper , a modified multifidelity surrogates (MMFS) model based on a radial basis function (RBF) is proposed, in which two fidelities of information can be analyzed by adaptively obtaining the scale factor.
Proceedings ArticleDOI
Variable-Fidelity Design Using Kriging Surrogate Model with Fidelity Indicator
TL;DR: In this paper, the adaptive VF analysis with the dynamic delity indicator (DFI) and adaptive variabledelity (VF) analysis is proposed and validated through an analytic function by comparing it with single-elity and high-delity analysis and the Vf analysis without the DFI.
Journal ArticleDOI
Hierarchical regression framework for multi-fidelity modeling
Yueqi Xu,Xueguan Song,Chao Zhang +2 more
TL;DR: The experimental results validate the proposed framework and show that the multi-fidelity models developed under the regression framework not only outperform the state-of-the-art models but also have a high robustness for varying sizes of HF and LF training samples, especially for very few HF samples.
Journal ArticleDOI
A screening-based gradient-enhanced Gaussian process regression model for multi-fidelity data fusion
TL;DR: In this article, a gradient-enhanced multi-fidelity Gaussian process model using a portion of gradients (PGEMFGP) is proposed, where a screening technique based on distance correlation is applied to select a portionof gradients of the lowfidelity model so that the modeling complexity can be greatly reduced.
Dissertation
Couplage optimisation à convergence partielle et stratégie multiparamétrique en calcul de structures
TL;DR: The methode LaTIn as mentioned in this paper is a methode de calcul iterative, i.e., it is possible to construct a metamodeles multi-fidelite, which assure the reduction des temps de calcul associes aux multiples resolutions du problem mecanique.
References
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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.
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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.
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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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