Assessment of pressure field calculations from particle image velocimetry measurements

By J. Charonko, Cameron V. King, Barton L Smith, Pavlos P. Vlachos. 2010

222 citations recorded by the source corpus.

Subfields: Computational Mechanics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/63d3162b70f58d2342fcd9febccaae78ce8a4be8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Fulvio Scarano
2. B. W. van Oudheusden
3. Bernhard Wieneke
4. A. Sciacchitano
5. G. Elsinga
6. J. Schneiders
7. Andreas Schröder
8. D. Schanz

In Statistical and Nonlinear Physics

1. B. W. van Oudheusden
2. Bernhard Wieneke
3. Fulvio Scarano

Citations in the corpus

• Tomographic PIV: principles and practice (2012, background): “The boundary conditions for this problem can be of Dirichlet and Neumann type with the value of the pressure known at least at one point if the absolute value of the pressure is required (de Kat and van Oudheusden 2010, Charonko et al 2010).”
• Multi-frame pyramid correlation for time-resolved PIV (2012, background): “…Wieneke LaVision GmbH, Anna-Vandenhoeck-Ring 19, 37081 Göttingen, Germany to evaluate the Lagrangian acceleration of fluid particles and in turn integrate the spatial field of the pressure gradient (Liu and Katz 2006; Haigermoser 2009; Charonko et al. 2010; Violato et al. 2010).”
• PIV-based pressure measurement (2013, methodology): “…out-ofplane terms), the pressure is correctly predicted, while with a planar data input the peak pressure falls off as approximately the cosine of the inclination angle, so a 90% peak response at approximately 25 degrees inclination, which agrees well with the outcome of Charonko et al (2010).”