STATE OF NEW JERSEY PROFESSOR OF

  COMPUTATIONAL FLUID DYNAMICS                       

 

Computational Fluid Dynamics

Simulate via numerical algorithms and codes to  understand and model the physics and mathematics of fluid flows. We are now focusing on accelerated inhomogeneous flow configurations , e.g. Rayleigh-Taylor and Richtmyer-Meshkov flows. Here applications are to laser (inertial confinement ) fusion, supersonic combustion and astrophysical flows. 

 

Visiometrics

Enhance our   methodology of  visualizing, projecting, extracting, tracking and quantifying the  evolving amorphous features that arise in massive data sets of simulated and real  fluid flows. Generate  and quantify the accuracy of algorithms and codes for simulation and visiometrics.

 

Reduced Modeling

Mathematize these  flows,  with interacting shock waves, multi-phase interfaces or fronts, vorticies, and turbulence,   to allow us to  formulate  reduced  or  asymptotical models. With these models,  we will obtain robust and efficient scalings and predictions  of nonlinear dynamical processes like turbulence and mixing.  

 

   NORMAN J. ZABUSKY
 

 

Department of Mechanical & Aerospace Engineering

and 

Laboratory for Visiometrics and Modeling

New Brunswick, NJ 08855-0909  

Phone: (732) 445-5869  

email: nzabusky@caip.rutgers.edu