Clinton P. T. Groth
Associate Professor
Phone: (416) 667-7715
Fax: (416) 667-7799
Information concerning current research projects of the
CFD and Propulsion Group can be
found here.
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Prof. Groth is a theoretical and computational
fluid dynamicist with expertise in finite-volume schemes for compressible
non-reacting and reacting flows and in the development of parallel
adaptive mesh refinement (AMR) methods. He also has expertise in the
computation of non-equilibrium, rarefied, and magnetized flows, and the
development of generalized transport models and solution methods following
from kinetic theory. His current reasearch focuses on the development of
parallel AMR methods on body-fitted multi-block
mesh for the solution of flows with disparate spatial and temporal scales
and the application of these techniques to predicting multiphase,
reactive, and turbulent combusting flows encountered in aerospace
propulsion systems. He also carries out research on large-eddy simulation
(LES) techniques for compressible non-reacting and turbulent premixed
combusting flows.
Prof. Groth participated in the recent
Workshop on Moment Methods in Kinetic Theory.
Further information concerning this workshop
can be found here.
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Computational fluid dynamics (CFD) involves the use of numerical methods
and high-speed computers to predict the dynamic behaviour of gases and
liquids. In spite of the relative maturity and widespread successes of
CFD in aerospace engineering, there remain a variety of flows which are
still not well understood and which have proven to be challenging to
predict by numerical methods. Such flows include but are not limited to:
1) multiphase, turbulent, reacting flows; 2) compressible flows of
conducting fluids and plasmas; and 3) nonequilibrium micron-scale flows.
The development of more accurate, robust, and efficient algorithms for predicting
these flows is the primary focus of the UTIAS CFD and Propulsion Group.
New SciNet High Performance Computing Facilities for Parallel CFD Research:
University of Toronto to Acquire Canada's Most Powerful Supercomputer From IBM
(Reuters,
CBC,
Globe and Mail).
More information concerning this facility can be found here.
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