AN OPTIMIZATION OF TURBULENT FLOWS BY USING DATA ASSIMILATION

被引:0
作者
Kato, Hiroshi [1 ]
机构
[1] Japan Aerosp Explorat Agcy, Inst Aeronaut Technol, Chofu, Tokyo 1828522, Japan
来源
11TH WORLD CONGRESS ON COMPUTATIONAL MECHANICS; 5TH EUROPEAN CONFERENCE ON COMPUTATIONAL MECHANICS; 6TH EUROPEAN CONFERENCE ON COMPUTATIONAL FLUID DYNAMICS, VOLS II - IV | 2014年
关键词
Turbulent flows; Uncertainty; Data Assimilation; Optimization; KALMAN FILTER;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this study, the ensemble transform Kalman filter, a sequential advanced data assimilation method, is employed to estimate the angle of attack, the Mach number, and the turbulent viscosity corresponding with the experimental pressure coefficients of the transonic flow around the ONERA M6 wing. As the result, the computation with the angle of attack, the Mach number, and the turbulent viscosity estimated by the ETKF improves discrepancies between original computations and the experiment. This result suggests that data assimilation is effective to estimate proper turbulent flow conditions by combining computational data and experimental data with data assimilation.
引用
收藏
页码:4508 / 4521
页数:14
相关论文
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