SBIR/STTR Research Award
A Common Mesh Infrastructure for Parallel Adaptive Multi-Scale and Multi-Physics Integrated Simulations in Complex Geometries
Award amount
$99,000Program and phase
SBIR · Phase IAward year
2004Award details
- Awarding agency
- Department of Defense
- Branch
- Defense Advanced Research Projects Agency
- Recipient company
- THINKADAPTIVE, INC.
- Proposal award date
- 2004-04-19
- Contract end date
- 2004-12-19
- UEI
- Not reported
- Solicitation number
- 2004.1
- Topic code
- SB041-011
Research abstract
The goal of this proposal is to develop a common mesh infrastructure (CMI) and algorithms for efficient adaptive simulations of transient multi-scale and multi-physics processes in complex geometries based on a new, fully threaded tree (FTT) abstract data type. An outcome of the proposed research will be a universal, platform-independent, stand-alone software library for managing a geometrically and topologically complex adaptive computational mesh shared by multiple algorithms during integrated numerical simulations of multi-scale and multi-physics phenomena. The CMI will define both global topology of a computational domain and local connectivity information on the mesh through a map of a multi-dimensional computational space onto a one-dimensional abstract index space. A critical property of the proposed CMI is that it will enable adaptive numerical algorithms to operate on an index space instead of a computational space, and will free the algorithms from topological and geometrical constraints either explicitly defined or implicitly imposed by application-specific and computer language-specific layouts of computational data in a computer memory, thus making the CMI-based adaptive algorithms flexible, portable, and universal.
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- A Common Mesh Infrastructure for Parallel Adaptive Multi-Scale and Multi-Physics Integrated Simulations in Complex Geometries
- Data Structures for Efficient and Integrated Simulation of Multi-Physics Processes in Complex Geometries