Clarence Burg, Ph.D.
University of Central Arkansas
Clarence Burg’s research interests focus on computational fluid dynamics simulations on unstructured triangular and mixed element meshes in 2D and 3D. While at Mississippi State University, Burg worked with the highly scalable U2NCLE incompressible Navier-Stokes flow solver, focused on applications relevant to the US Navy. In particular, he worked on methods for simulating the flow past surface ships, using moving mesh (surface tracking) methods and fixed mesh (surface capturing) methods. Burg developed a moving mesh method for 3D unstructured meshes via the torsional spring approach, for use within shape-based numerical design optimization which was also appropriate for surface tracking free surface methods.
Burg is currently interested in the accuracy of unstructured flow solvers, having developed a higher order method for node-based finite volume solvers using Richardson extrapolation. He is also interested in more fundamental issues involving the accuracy of numerical methods on unstructured meshes, having developed the unstructured MUSCL approach and having studied the truncation error on almost regular triangular meshes and the effects of asymmetries on numerical simulations involving unstructured meshes.
Clarence Burg is an assistant professor of Mathematics at the University of Central Arkansas and has worked with 5 graduate students in the Applied Mathematics Master’s program at UCA. He is currently working with four other UCA faculty to build the Callisto cluster, UCA’s first research computer cluster, which should be available for UCA students and faculty by the fall semester of 2010. He will lead the CFD (Computational Fluid Dynamics) Thrust for this cluster, and will direct student research projects using codes from Mississippi State University, Jackson State University, NASA Langley and the National Center for Atmospheric Research (and hopefully more codes). Students will compare the results from similar codes on the same geometry and mesh, to determine the relative strengths of each code. Burg and his students are particularly interested in studying terrain effects on local weather phenomena using NCAR’s Weather Research Forecasting model.
For more information about Burg, please visit his UCA faculty website. For more information about the Callisto cluster, please visit the UCA Callisto website.