On-line Visualization of Arbitrary Unstructured, Adaptive Grids
Computational simulations for complex geometries nowadays often deal with unstructured grids. That’s why scientific visualization must also be extended to these grid types. A visualization system is presented which works with any type of unstructured grids, i.e. arbitrary polygonal and polyhedral grids. Results from finite volume (cell-centered) and finite element methods can be visualized. Additionally time-dependent data can be processed and interpolation between time steps is possible. This data may be transfered directly from a simulation program and therefore on-line visualized. To integrate this task into a computational simulation an object-oriented interface is presented which allows an easy connection of simulation and visualization.
KeywordsFinite Volume Method Unstructured Grid Visualization System Adaptive Grid Hierarchy Level
Unable to display preview. Download preview PDF.
- 1.D. Banerjee, C. Morley, and W. Smith. The design and implementation of the cortex visualization system. In Proccedings of the Visualization ‘94,pages 265–272, Washington, D.C., October 1994. IEEE Computer Society Technical Committee on Computer Graphics in cooperation with ACM/SIGGRAPH, IEEE Computer Society Press.Google Scholar
- 2.D. Banerjee, T. Tysinger, and W. Smith. A scalable high-performance environment for fluid flows on unstructured grids. In Proceedings of the Supercomputing ‘94,pages 8–17, Washington, D.C., November 1994. IEEE Computer Society and ACM, IEEE Computer Society Press.Google Scholar
- 3.K. Birken. An efficient programming model for parallel and adaptive CFD-algorithms In Proceedings of Parallel CFD Conference 1994,Kyoto, Japan, 1995. Elsevier Science.Google Scholar
- 4.A.-M. Duclos and M. Grave. Reference models and formal specification for scientific visualization. In Patrizia Palamidese, editor, Scientific Visualization - Advanced Software Techniques, Workshop Series, chapter 1.1, pages 3–14. Ellis Horwood, 1993.Google Scholar
- 5.M. Geiben and M. Rumpf. Visualization of finite elements and tools for numerical analysis. In Proccedings of the Second Eurographics Workshop on Visualization in Scientific Computing, Delft, Netherlands, April 1991.Google Scholar
- 6.Silicon Graphics, editor. IRIS Explorer™ 2.0 Module Writer’s Guide. Silicon Graphics, Mountain View, California, 1992.Google Scholar
- 7.C. Helf and U. Küster. A finite volume method with arbitrary polygonal control volumes and high order reconstruction for the Euler equations. In S. Wagner, E.H. Hirschel, J. Périaux, and R. Piva, editors, Proceedings of the Second European Computational Fluid Dynamics Conference,Stuttgart, Germany, 1994. Wiley and Sons.Google Scholar
- 8.D. Lane. UFAT - a particle tracer for time-dependent flow fields. In Proccedings of the Visualization ‘94pages 257–264, Washington, D.C., October 1994. IEEE Computer Society Technical Committee on Computer Graphics in cooperation with ACM/SIGGRAPH, IEEE Computer Society Press. Google Scholar
- 9.K. Polthier and M. Rumpf. A concept for time-dependent processes. In Workshop Papers of the Fifth Eurographics Workshop on Visualization in Scientific ComputingRostock, Germany, May/June 1994. Google Scholar
- 10.A. Ruprecht. Finite elements for the calculation of turbulent flows in three-dimensional complex geometries. In Proceedings of the 3rd International Congress of Fluid MechanicsCairo, Egypt, 1990. Google Scholar
- 11.R. Struijs, P. Vankeirsbilck, and H. Deconinck. An adaptive grid polygonal finite volume method for the compressible flow equations. Meeting Paper AIAA-891959-CP, American Institute of Aeronautics and Astronautics, 1989.Google Scholar