Prof. Clinton P. T. Groth
Research Expertise & Interests
CFD & Propulsion Group
CPTG

Clinton P. T. Groth
Associate Professor

Institute for Aerospace Studies
University of Toronto
4925 Dufferin Street
Toronto, Ontario, Canada, M3H 5T6

Phone: (416) 667-7715
Fax: (416) 667-7799

Information concerning current research projects of the CFD and Propulsion Group can be found here.

 

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.

 

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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