Welcome to 
the homepage of
Stavros Kassinos
Stanford University

Turbulence is everywhere... in the earth's atmosphere
and in your stirred coffee cup! 

 

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TF-61 (PDF)

ASBM

Fluid Dynamics of Life

suZi

ESP

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CTR-NASA

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Research Interests


Degrees 

B.M.E. University of Texas at Austin (1986) 
M.S. Stanford University - Mechanical Engineering (1989) 
Ph.D. Stanford University (1994)

Primary Research Interests

> Structure-Based Turbulence Modeling (see below)
> Modeling of Magnetogasdynamic (MGD) Turbulence (see below)
> Direct Numerical Simulation and Theory for Rotated Shear Flows

Other Research Interests

> Symbolic Tensor Algebra   (see below and Symolica link in menu)
> Biological Fluid Dynamics (see link to Fluid Dynamics of Life)

Structure-Based Turbulence Modeling
 

Flow  predictions have become a standard feature of modern flow
system design, and turbulence modeling is a critical element of
modern  CFD codes used for flow analysis. Models must be fairly
simple  and computationally affordable to be used in repetitive
engineering   calculations,   yet  they  must  be  sufficiently
representative  of  the  flow  physics to capture the important
flow   features   controlled   by   turbulence,  such  as  flow
separation,  skin  friction,  and  heat and mass transfer. As a
result  of  the efforts of many contributors, turbulence models
are  now  quite  adequate  for  simple  flows, but there remain
important engineering problems where improved turbulence models
are needed. There is a particular need for improved models that
are  robust and accurate in rotating flows, which are important
in   aerospace   propulsion  systems.  Advanced  aerospace  and
propulsion  systems  employing  magnetogasdynamics  (MGD),  and
possible   schemes   for   control  of  electrically-conducting
external  flows  on aerospace vehicles, also require turbulence
models superior to those presently available.

We   have   been  developing  a  new  type  of  structure-based
turbulence  model  that  shows  promise as a broadly applicable
tool for prediction of turbulent flows of engineering interest.
The  structure-based approach has been successful in many flows
where  traditional  models fail. An important example, relating
to the flow through jet engines and parts of turbomachinery, is
the Elliptic Streamlines Flow.

This work is sponsored by AFOSR.

Symbolica

I  have  been  developing Symbolica®, a symbolic tensor algebra
and  tensor  manipulation  package  for Mathematica®. The great
advantage of Symbolica® over other symbolic tensor manipulation
packages  is  its  user  friendliness and the use of real index
notation.   Contraction,   simplification,  symmetrization  and
antisymmetrization  are  achieved  in  a  natural  sequence  of
commands.Symbolica® will    automatically    recognize    tensor
quantities  and  operate  on  indices  (subscripts)  using  the
subscript   tensor   notation.  (Note:  currently  Symbolica® is
restricted   to   Cartesian  tensors).  Some  examples  of  the
capabilities of Symbolica® are shown here: example 1, example 2.
 


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Last updated on 07.05.2001