Data assimilation for turbulent flows

Hiroshi Kato, Shigeru Obayashi

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)

Abstract

In this study, the ensemble Kalman filter and the ensemble transform Kalman filter, sequential advanced data assimilation methods, were employed to estimate angle of attack, inflow Mach number, and turbulent viscosity of turbulent flows. The transonic flows around the NACA0012 and the RAE 2822 airfoils were considered here. The surface pressures of experiments were employed for data assimilation. The computations with the estimated angle of attack, inflow Mach number, and turbulent viscosity by data assimilation improved discrepancies between ordinary computations with turbulence models and experiments. These results suggested that data assimilation was effective to estimate the proper angle of attack, inflow Mach number, and turbulent viscosity for computations.

Original languageEnglish
DOIs
Publication statusPublished - 2014
Event16th AIAA Non-Deterministic Approaches Conference - SciTech Forum and Exposition 2014 - National Harbor, MD, United States
Duration: 2014 Jan 132014 Jan 17

Other

Other16th AIAA Non-Deterministic Approaches Conference - SciTech Forum and Exposition 2014
CountryUnited States
CityNational Harbor, MD
Period14/1/1314/1/17

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanics of Materials
  • Building and Construction
  • Architecture

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