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Optimized Numerics for Missile Aero-Propulsive Flow Modeling on Massive…

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
78615
Program Year/Program:
2006 / SBIR
Agency Tracking Number:
A052-159-0943
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Combustion Research and Flow Technology,
6210 Kellers Church Road Pipersville, PA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2006
Title: Optimized Numerics for Missile Aero-Propulsive Flow Modeling on Massive Clustered Computational Resources
Agency / Branch: DOD / ARMY
Contract: W31P4Q-06-C-0443
Award Amount: $729,991.00
 

Abstract:

High-fidelity flowfield simulations of US Army interest for tactical and hypersonic missile aeropropulsive applications require replacement of simplified modeling approximations with more accurate but complex formulations. These improvements have incurred significant computational cost through use of higher-order numerics, dense computational meshes, and advanced turbulent and thermochemistry models with disparate time-scales that introduce additional non-linear transport equations and numerical stiffness issues. Software-based optimizations are needed to improve simulation throughput for system design parametric studies and evaluation purposes. Use of massively parallel computer clusters can extend simulation capability to 3D flowfields but alone cannot address the performance issue; innovative algorithm improvements are needed to complement available hardware resources. The opportunity presented seeks to boost simulation output significantly, without compromising accuracy, using automated dynamic load balancing techniques for parallel systems that compensate for non-uniform computational work distributions from varying physical processes (chemistry, particulate interactions) across the domain. Additionally, improved convergence algorithms are proposed to facilitate use of advanced thermochemistry and turbulence models in an efficient manner and to exploit differing time-stepping requirements through adaptive implicit algorithm selection.

Principal Investigator:

Donald C. Kenzakowski, Jr.
Senior Research Scientist
2157661520
kenzakow@craft-tech.com

Business Contact:

Sanford M. Dash
President & Chief Scienti
2157661520
dash@craft-tech.com
Small Business Information at Submission:

COMBUSTION RESEARCH & FLOW TECHNOLOGY,
6210 Keller's Church Road, Pipersville, PA 18947

EIN/Tax ID: 232759059
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No