Multi-fidelity modeling framework for nonlinear unsteady aerodynamics of airfoils

DOI10.1016/j.apm.2019.06.034zbMath1481.76130OpenAlexW2954338922WikidataQ113488888 ScholiaQ113488888MaRDI QIDQ1985249

Wei-Wei Zhang, Jiaqing Kou

Publication date: 7 April 2020

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2019.06.034

zbMATH Keywords

unsteady aerodynamicstransonic flowdata fusionreduced-order modeldata-driven modelingmulti-fidelity

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Fluid-solid interactions (including aero- and hydro-elasticity, porosity, etc.) (74F10) General aerodynamics and subsonic flows (76G25) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items (5)

An exploratory study on machine learning to couple numerical solutions of partial differential equations ⋮ Multi-fidelity nonlinear unsteady aerodynamic modeling and uncertainty estimation based on hierarchical Kriging ⋮ A latent variable approach for non-hierarchical multi-fidelity adaptive sampling ⋮ Multi-fidelity cost-aware Bayesian optimization ⋮ An application of neural networks to the prediction of aerodynamic coefficients of aerofoils and wings

Uses Software

• Spalart-Allmaras

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