Skip to main content
Mandatory COVID-19 screening Faculty, staff, students and visitors must complete a screening questionnaire before coming to campus. Visit the Ready for You website for screening and other COVID-19-related information.
Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

March 14, 2014

Speaker: Clinton Groth (CFD and Propulsion group, UTIAS, University of Toronto) 

Title: Parallel High-Order Adaptive Mesh Refinement Finite-Volume Schemes for Multi-Scale Physically-Complex Flows

Abstract: A family of high-order central essentially non-oscillatory (CENO) finite-volume schemes with adaptive mesh refinement (AMR) are described for the prediction of a range of multi-scale physically-complex flows in both two and three space dimensions. The CENO schemes are based on a hybrid solution reconstruction procedure that combines an unlimited high-order k-exact, least-squares reconstruction technique, following from a fixed central stencil, with a monotonicity preserving limited piecewise linear least-squares reconstruction. Switching in the hybrid procedure is determined by a solution smoothness indicator that detects whether or not the solution is accurately represented on the mesh. The solution smoothness indicator is also used in the formulation of a refinement criteria for directing mesh adaptation. The proposed approach avoids some of the complexities associated with the original essentially non-oscillatory (ENO) and other weighted ENO (WENO) schemes and is well-suited for solution reconstruction on irregular and unstructured mesh. The development of the high-order finite-volume with AMR approach for both multi-block body-fitted and more generally unstructured meshes in both two- and three-dimensions is discussed for a range of applications, including inviscid compressible flows, perfectly conducting plasma flows, viscous incompressible and compressible flows, as well as reactive flows. The ability of the CENO schemes to accurately represent solutions with smooth extrema and yet robustly handle under-resolved and/or non-smooth solution content is demonstrated.