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.M30.7
Abstract: M30.00007 : Robust low noise sensitivity of PIV-based pressure measurement by omnidirectional integration
9:18 AM–9:31 AM
Presenter:
Jose R Moreto
(San Diego State University, University of California, San Diego)
Authors:
Jose R Moreto
(San Diego State University, University of California, San Diego)
Xiaofeng Liu
(San Diego State University)
We derived an analytical expression for the error propagation from the PIV-based pressure gradient to the integrated pressure by the omnidirectional integration method. The pressure calculation for the boundary points is an iterative process and the error decreases for each iteration. The inner domain pressure is a one-step calculation which uses the boundary point solution. For the inner domain, the error is an average of the boundary error and the integration truncation error. The analysis shows that the omnidirectional integration provides an effective mechanism to reduce the sensitivity to random noise. We verified those results using a direct numerical simulation (DNS) database of isotropic turbulence flow, with a homogeneously distributed random noise added to the entire field of DNS pressure gradient. The random noise has a magnitude varying randomly within the range of ±40% of the maximum DNS pressure gradient. A total of 1000 statistically independent noise distributions achieved by using different random number seeds. Three different methods are compared. The average error is 0.15±0.07 for the Poisson approach, 0.028±0.003 for the Circular Virtual Boundary method and 0.027±0.003 for the Rotating Parallel Ray method, indicating the validity of the expressions derived.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.M30.7
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