
Kenneth E. Jansen 
After
receiving his B.S. in Mechanical Engineering in 1987 from the
University of MissouriColumbia, Kenneth Jansen went on to graduate
school at Stanford University where he earned an M.S. degree in
Mechanical Engineering in 1988 and his Ph.D. in Mechanical
Engineering with a minor in Aeronautical Engineering in 1993 under an
Office of Naval Research Fellowship. He then joined the Center
for Turbulence Research, a joint NASAStanford program, where he
was awarded a three year postdoctoral research fellowship. In
August, 1996 he became a member of the Rensselaer faculty. In
January, 2010 he joined the Faculty of University of Colorado Boulder
in the Department of Aerospace Engineering Sciences
Research Interests and Activities Major Interests: Computational mechanics with emphasis on fluid dynamics. Turbulence theory, simulation, and modeling. Parallel computing.
The motivation of Ken's research is to provide engineers with a
better predictive capability for fluid dynamics problems, especially
those where turbulence plays an nonnegligible role. To this end, his
research, at the most applied level, seeks to develop simple models
which describe the net effect or average of the turbulence upon the
mean flow equations. These models, when combined with a fully
unstructuredgrid finite element method, allow engineers to model
arbitrarily complex flow problems. Unfortunately, these models are
not yet able to describe all turbulent flows. Therefore, other forms
of simulating turbulence are also pursued. These forms are: 1)
LargeEddy Simulation (LES) where the large scale motions of the
turbulence are resolved in the computation leaving only the fine
scale motions to be modeled, 2) Direct Numerical Simulation (DNS)
where all of the turbulent motions are resolved in the computational
model. These alternate forms are useful both to develop a more basic
understanding of the theory of turbulence and to help improve the
averaged models used by engineers.
Publications and Presentations
Acknowledgements
Much of the material presented above (since February 2000) has been based upon work supported by the National Science Foundation under Grant No.9935840.
Any opinions, findings and conclusions
or recommendation expressed in this material are those of the author
and do not necessarily reflect the views of the National Science
Foundation (NSF).