Turbulent kinetic energy dissipation rate estimation from PIV velocity vector fields
By P. Saarenrinne, M. Piirto. 2000
159 citations recorded by the source corpus.
Subfields: Computational Mechanics, Environmental Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/71fddf750d2f99d092e9ae0a32221a8ccb71aace
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
- John Christos Vassilicos
- R. Gomes-Fernandes
- Bharathram Ganapathisubramani
- Byungsun Yang
- J. Salazar
- Lance R. Collins
- Lujie Cao
- H. Meng
In Environmental Engineering
- John Christos Vassilicos
- Byungsun Yang
- R. Gomes-Fernandes
- J. Salazar
- Lance R. Collins
- Bharathram Ganapathisubramani
- S. Shy
- Ivan Marusic
In Statistics and Probability
Citations in the corpus
- Particle image velocimetry study of fractal-generated turbulence (2012, background): “Saarenrinne & Piirto (2000) demonstrated that for decreasing 1x the dissipation error increases exponentially due to the square of the fluctuation velocity gradient.”
- Two-way interaction between solid particles and homogeneous air turbulence: particle settling rate and turbulence modification measurements (2005, methodology): “It should be noted that velocity estimation using the cross-correlation method over a finite, arbitrarily sized interrogation window has important spatial filtering feature (Saarenrinne & Oiirto 2000 and Sheng, Meng & Fox 2000).”
- Dissipation rate estimation from PIV in zero-mean isotropic turbulence (2009, methodology): “Consequently, there have been a number of very different recommendations for the optimal grid size; such as 3g ( Saarenrinne and Piirto 2000 ) or 0.5g (Tanaka and Eaton 2007).”
- Spatial resolution of PIV for the measurement of turbulence (2007, unknown): “…is a trade off between zooming the image onto a small area to resolve small scale motion, which can lead to a loss of global information and increases noise (e.g. Saarenrinne and Piirto 2000), and capturing the region of the flow field that includes all relevant scales (e.g. Poelma et al. 2006).”