Modelling turbulent collision of bidisperse inertial particles

By Yong Zhou, Anthony S. Wexler, Lian-Ping Wang. Journal of Fluid Mechanics, 2001

161 citations recorded by the source corpus.

Subfields: Computational Mechanics, Earth-Surface Processes, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/c223496e9e6591c206d8b0200169160a590b5345

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. Lance R. Collins
2. Wojciech W. Grabowski
3. Lian-Ping Wang
4. Luca Biferale
5. Federico Toschi
6. J. Bec
7. Orlando M. Ayala
8. Guido Boffetta

In Earth-Surface Processes

1. Wojciech W. Grabowski
2. Lian-Ping Wang
3. Lance R. Collins
4. Orlando M. Ayala
5. Federico Toschi
6. A. Bragg
7. Peter J. Ireland
8. Raymond A. Shaw

In Ocean Engineering

1. Lance R. Collins
2. Wojciech W. Grabowski
3. Lian-Ping Wang
4. Orlando M. Ayala
5. Federico Toschi
6. Luca Biferale
7. A. Bragg
8. Peter J. Ireland

Citations in the corpus

• Growth of Cloud Droplets in a Turbulent Environment (2013, methodology): “This kinematic formulation has been validated against the DNS dynamic collision kernel, for the geometric collision of nonsedimenting inertial particles (Zhou et al. 2001), and for sedimenting cloud droplets (Ayala et al. 2008b).”
• Theoretical Formulation of Collision Rate and Collision Efficiency of Hydrodynamically Interacting Cloud Droplets in Turbulent Atmosphere (2005, methodology): “…in the engineering community to advance physical understanding and theoretical treatment of particle-turbulence interactions (Squires and Eaton 1990; Wang and Maxey 1993) and particle-particle collision rates in a turbulent flow (Sundaram and Collins 1997; Wang et al. 2000; Zhou et al. 2001).”
• Dynamics and statistics of heavy particles in turbulent flows (2006, background): “Recently, much effort have been devoted to the study of phenomena related to preferential concentration of inertial particles in turbulent flows by means of both theoretical [12, 13, 14, 15] and computational [16, 17, 18, 19, 20, 21] approaches.”
• Clustering of aerosol particles in isotropic turbulence (2005, background): “80) reproduce all of the qualitative trends observed in earlier DNS (Reade & Collins 2000b; Zhou et al. 2001).”
• Acceleration statistics of heavy particles in turbulence (2005, background): “…Pumir 2004; Bec, Gawedzki & Horvai 2004; Zaichik, Simonin & Alipchenkov 2003) and numerical simulations (Boivin, Simonin & Squires 1998; Reade & Collins 2000; Zhou, Wexler & Wang 2001; Chun et al. 2005) are paving the way to a thorough understanding of inertial particle dynamics in turbulent flows.”