Overture: An advanced object-oriented software system for moving overlapping grid computations | Zendy

Drew Brown | Zendy; William D. Henshaw | Zendy

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Overture: An advanced object-oriented software system for moving overlapping grid computations

Author(s) -

Drew Brown,

William D. Henshaw

Publication year - 1996

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/399944

Subject(s) - grid , computer science , component (thermodynamics) , interpolation (computer graphics) , ode , computation , computational science , object oriented programming , mesh generation , ordinary differential equation , partial differential equation , software , problem solving environment , theoretical computer science , algorithm , computer graphics (images) , mathematics , programming language , geometry , differential equation , data mining , engineering , finite element method , animation , mathematical analysis , physics , thermodynamics , structural engineering

While the development of high-level, easy-to-use, software libraries for numerical computations has been successful in some areas (e.g. linear system solvers, ODE solvers, grid generation), this has been an elusive goal for developers of partial differential equation (PDE) solvers. The advent of new high level languages such as C++ has begun to make this an achievable goal. This report discusses an object- oriented environment that we are developing for solving problems on overlapping (Chimera) grids. The goal of this effort is to support flexible PDE solvers on adaptive, moving, overlapping grids that cover a domain and overlap where they meet. Solutions values at the overlap are determined by interpolation. The overlapping grid approach is particularly efficient for rapidly generating high- quality grids for moving geometries since as the component grids move, only the list of interpolation points changes, and the component grids do not have to be regenerated. We use structured component grids so that efficient, fast finite-difference algorithms can be used. Oliger-Berger-Corella type mesh refinement is used to efficiently resolve fine features of the flow

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