Georgia Institute of Technology

Faculty Profile

P. K. Yeung

P. K. Yeung

Professor

Office: Guggenheim 361
Phone: 404.894.9341
Fax: 404.894.2760
pk.yeung@aerospace.gatech.edu
http://www.ae.gatech.edu/people/pyeung/

Education

  • B.Sc(Eng.),  Mechanical Engineering, 1980, University of Hong Kong
  • M.Phil., Mechanical Engineering, 1984, University of Hong Kong
  • Ph.D., Mechanical Engineering, 1989, Cornell University
  • Biography

    Professor P.K. Yeung joined the faculty at Georgia Tech in 1992, after post-doctoral appointments at Queen's University at Kingston (Canada) and at Pennsylvania State University. Professor Yeung's primary interests are in the use of high-resolution direct numerical simulations to study the fundamental behavior of turbulent flows with a view towards collaboative efforts in simulation and modeling, and in massively-parallel computing and Cyberinfrastructure. Topics investigated have included basic issues in Reynolds number dependence and similarity scaling, mixing with molecular diffusivity effects over a wide range of Schmidt numbers, Lagrangian fluid particles acceleration and dispersion, and the effects of uniform solid-body rotation. Current simulations are, with 64 grid points and scaled up to 131072 parallel processors, are among the world's largest and are conducted on some of the world's largest supercomputers supported by the National Science Foundation (NSF) and the U.S Department of Energy (DOE). Professor Yeung has published over 50 archival journal articles, which have been cited more than 1600 times in total. He leads a four-institution Petascale Applications project supported by NSF, and served as lead organizer of an NSF Cyber-Fluid Dynamics workshop held in July 2007. He is also an Adjunct Professor in the Division of Computational Science and Engineering at Georgia Tech.

    Research

    Fundamental studies of turbulent fluid flow using large-scale computation, with emphasis on the following areas:

    • Direct numerical simulation of turbulent flow to understand the fundamental
      physics of turbulent mixing and dispersion at the highest Reynolds number
      possible allowed by available computational power
    • Turbulence theory, experiment and modeling using numerical simulation data to enable broad interdisciplinary advances
    • Algorithm development for Petascale computing allowing the largest
      simulations possible on systems with tens or hundreds of thousands of
      parallel processors

    Honors and Distinctions

  • First prize paper in engineering division of IBM Supercomputing Competition (1989)
  • INCITE Award, US Department of Energy Office of Science (2004)
  • Fellow of the American Physical Society (elected 2006)
  • Member of NSF TeraGrid Science Advisory Board (2008-)
  • Selected Publications

  • Donzis, D.A.,  Yeung, P.K. and Sreenivasan, K.R. (2008) "Energy dissipation rate and enstrophy in isotropic turbulence: resolution effects and scaling in direct numerical simulations", Physics of Fluids, Vol 20, 045108 (16 pages).
  • Yeung, P.K., Pope, S.B. and Sawford, B.L. (2006) "Reynolds number dependence of Lagrangian statistics in large numerical simulations of isotropic turbulence." Journal of Turbulence,  Vol. 7, No. 58, 1-12.
  • Yeung, P.K. and Borgas, M.S. (2004) "Relative dispersion in isotropic turbulence: Part 1. Direct numerical simulations and Reynolds number dependence", Journal of Fluid Mechanics Vol. 503, 93-124.
  • Yeung, P.K. (2002) "Lagrangian investigations of turbulence", Annual Review of Fluid Mechanics, Vol. 34, 115-142.
  • Vedula, P. and Yeung, P.K. (1999) "Similarity scaling of acceleration and pressure statistics in numerical simulations of turbulence", Physics of Fluids Vol. 11, 1208-1220.
  • hpep lab

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    Prof. Mitchell Walker in the High-Power Electric Propulsion Lab

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