Combining direct and indirect sparse data for learning generalizable turbulence models

• Published in: Journal of computational physics Vol. 489; p. 112272
• Main Authors: Zhang, Xin-Lei, Xiao, Heng, Luo, Xiaodong, He, Guowei
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 15.09.2023
• Subjects: Direct data; Ensemble Kalman method; Indirect data; Turbulence modeling; Indirect data; Direct data; Turbulence modeling; Ensemble Kalman method

Learning turbulence models from observation data is of significant interest in discovering a unified model for a broad range of practical flow applications. Either the direct observation of Reynolds stress or the indirect observation of velocity has been used to improve the predictive capacity of tu...