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
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Physics-constrained Gaussian process regression for soil moisture dynamics
Leilei He,Qiuru Zhang,Liangsheng Shi,Yakun Wang,Lijun Wang,Xiaolong Hu,Yuanyuan Zha,Kai Huang +7 more
TL;DR: In this paper , a new physics-constrained scheme is proposed to exploit or avoid the adverse effects of the model error, which significantly improves the accuracy and robustness of the soil moisture retrieval by weighing the reliability of the prediction results.
Journal ArticleDOI
A multi-fidelity surrogate model based on extreme support vector regression: fusing different fidelity data for engineering design
Maolin Shi,Liye Lv,Lizhang Xu +2 more
TL;DR: In this article , a multi-fidelity surrogate (MFS) model is proposed based on ESVR, which can make full use of the advantages of both HF data and LF data to achieve optimal results at same or lower cost.
Journal ArticleDOI
Inverse Design Method for Low-Boom Supersonic Transport with Lift Constraint
TL;DR: In this paper, the authors proposed an inverse design method using a new target-generation strategy to address the challenge of low-boom inverse design for the preliminary design of supersonic transport (SST), owing to its capability of reducing sonic boom at low computational cost.
MATHICSE Technical Report: A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems
TL;DR: The speed-up in the online evaluation and the high accuracy of extracted quantities of interest makes the multifidelity RB method a powerful tool for outer-loop applications in engineering, as exemplified in uncertainty quantification.
Probabilistic Analysis of Aircraft Using Multi-Fidelity Aerodynamics Databases
TL;DR: Experiments perform a time-accurate maneuver simulation to demonstrate the ability of laser-spot assisted, 3D image analysis to characterize the motion of the satellite duringflight.
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.
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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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