Adaptive multi-fidelity sampling for CFD-based optimisation via radial basis function metamodels

DOI10.1080/10618562.2019.1683164OpenAlexW2983281368WikidataQ126840996 ScholiaQ126840996MaRDI QIDQ5031533

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Publication date: 16 February 2022

Published in: International Journal of Computational Fluid Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10618562.2019.1683164

zbMATH Keywords

adaptive grid refinementshape optimisationadaptive samplingdynamic radial basis functionsmulti-fidelity metamodels

Mathematics Subject Classification ID

Fluid mechanics (76-XX) Numerical analysis (65-XX)

Uses Software

• EGO

Cites Work

• An interface capturing method for free-surface hydrodynamic flows
• Efficient global optimization of expensive black-box functions
• Combined refinement criteria for anisotropic grid refinement in free-surface flow simulation
• Uncertainty quantification for a sailing yacht hull, using multi-fidelity Kriging
• Can adaptive grid refinement produce grid-independent solutions for incompressible flows?
• Derivative-free global ship design optimization using global/local hybridization of the DIRECT algorithm
• Investigation of an adaptive sampling method for data interpolation using radial basis functions
• Predicting the output from a complex computer code when fast approximations are available

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