Investigation of Smoothness-Increasing Accuracy-Conserving Filters for Improving Streamline Integration through Discontinuous Fields
Issue No. 03 - May/June (2008 vol. 14)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2008.9
Streamline integration of fields produced by computational fluid mechanics simulations is a commonly used tool for the investigation and analysis of fluid flow phenomena. Integration is often accomplished through the application of ordinary differential equation (ODE) integrators -- integrators whose error characteristics are predicated on the smoothness of the field through which the streamline is being integrated -- smoothness which is not available at the inter-element level of finite volume and finite element data. Adaptive error control techniques are often used to ameliorate the challenge posed by inter-element discontinuities. As the root of the difficulties is the discontinuous nature of the data, we present a complementary approach of applying smoothness-enhancing accuracy-conserving filters to the data prior to streamline integration. We investigate whether such an approach applied to uniform quadrilateral discontinuous Galerkin (high-order finite volume) data can be used to augment current adaptive error control approaches. We discuss and demonstrate through numerical example the computational trade-offs exhibited when one applies such a strategy.
streamline integration, finite element
Jennifer K. Ryan, Michael Steffen, Robert M. Kirby, Sean Curtis, "Investigation of Smoothness-Increasing Accuracy-Conserving Filters for Improving Streamline Integration through Discontinuous Fields", IEEE Transactions on Visualization & Computer Graphics, vol. 14, no. , pp. 680-692, May/June 2008, doi:10.1109/TVCG.2008.9