Unscented Kalman filter (UKF) based nonlinear parameter estimation for a turbulent boundary layer: DNS data
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https://www.frdr-dfdr.ca/repo/dataset/482a8b73-5fb8-85b1-43bc-a0a9336fdac1
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资源简介：
This repository contains the raw data (9 snapshots) of a turbulent channel flow at a bulk Mach number of 0.3 and a Re_tau of about 750. Postprocessing scripts are available in GitLab at https://gitlab.com/mpilab_waterloo/dns-post-processing. This data was used for the analysis of the following paper: Pan, Z., Zhang, Y., Gustavsson, J.P.R., Hickey, J.-P. and Cattafesta III, L. N. Unscented Kalman filter (UKF) based nonlinear parameter estimation for a turbulent boundary layer: a data assimilation framework, Meas. Sci. and Technol. 2020.
提供机构：
Federated Research Data Repository / dépôt fédéré de données de recherche
创建时间：
2020-03-27
