LAGRANGIAN INVESTIGATIONS OF TURBULENCE

By Pui-Kuen Yeung. 2003

348 citations recorded by the source corpus.

Subfields: Computational Mechanics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/e8da3467b09b7074be76bdaac08089bd62dd5186

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

In Environmental Engineering

Citations in the corpus

Eulerian and Lagrangian views of a turbulent boundary layer flow using time-resolved tomographic PIV (2011, background): “wall distance for TBL, while they are universal in isotropic turbulence making assumptions on highest levels of generality possible relying on high performance DNS data [1][2].”
A quantitative study of three-dimensional Lagrangian particle tracking algorithms (2006, methodology): “Many algorithms have been proposed, including weighted averaging (Maas et al. 1993; Maas 1996; Doh et al. 2000), function fitting (Cowen and Monismith 1997; Mann et al. 1999), and template matching (Guezennec et al. 1994), as well as the standard PIV technique of image cross correlation (Adrian 1991”
Instantaneous pressure and material acceleration measurements using a four-exposure PIV system (2006, background): “The objectives of most of previous works have been either to provide data for Lagrangian stochastic turbulence models ( Yeung 2001, 2002; Vedula and Yeung 1999; Voth et al. 1998 ;L a Porta et al. 2001; Ott and Mann 2000) or to develop techniques for either Lagrangian (material) or Eulerian (local) ”
Small-scale statistics in high-resolution direct numerical simulation of turbulence: Reynolds number dependence of one-point velocity gradient statistics (2007, methodology): “Vedula & Yeung (1999) measured the values of Hχ at Rλ < 240 using DNS of turbulence and found that the values approach an asymptotic value of about 0.”
A public turbulence database cluster and applications to study Lagrangian evolution of velocity increments in turbulence (2008, background): “For more complex problems, such as turbulent advection of passive scalars [1, 2] and magnetohydrodynamic turbulence [3], the amount of data will increase even further.”