Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session M30: Experimental Techniques: Extending Capabilities of PIV Based Measurements
8:00 AM–10:10 AM,
Tuesday, November 20, 2018
Georgia World Congress Center
Room: B402
Chair: Steve Beresh, Sandia National Lab
Abstract ID: BAPS.2018.DFD.M30.5
Abstract: M30.00005 : Data assimilation for particle image velocimetry based on lattice Boltzmann method*
8:52 AM–9:05 AM
Presenter:
Dong Kim
(School of Mechanical Engineering, Pusan National University, Busan 46241, Korea)
Authors:
Dong Kim
(School of Mechanical Engineering, Pusan National University, Busan 46241, Korea)
Kyung Chun Kim
(School of Mechanical Engineering, Pusan National University, Busan 46241, Korea)
Experimental and numerical approaches in PIV measurements have limitations in uncertainty that arise in experimental setups and mathematical models. In this regard, data assimilation for PIV that can complement experimental data and numerical model have received much attention in the fluid mechanics community. In the post-processing of PIV data, the most widely used approaches are linear interpolation, POD and Kalman filtering which are reduced order of modeling using general signal processing techniques. However, these techniques do not consider the flow physics. In this study, we propose a new data assimilation method for PIV using LBM. We solve the flow governing equations directly and non-iteratively using the PIV data as initial or boundary conditions to resolve finer temporal and spatial velocity vectors. In this study, GPGPU operation was performed using openCL for parallel data analysis. With a comparison of the proposed method to existing experimental and DNS data base, the performance of LBM based data assimilation method is verified more effective to recover missing data of PIV results.
*Acknowledgment: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2011-0030013, No. 2018R1A2B2007117).
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.M30.5
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