Optimized Numerics for Missile Aero-Propulsive Flow Modeling on Massive Clustered Computational Resources

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$119,895.00
Award Year:
2006
Program:
SBIR
Phase:
Phase I
Contract:
W31P4Q-06-C-0188
Award Id:
78615
Agency Tracking Number:
A052-159-0943
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
6210 Keller's Church Road, Pipersville, PA, 18947
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
929950012
Principal Investigator:
DonaldKenzakowski, Jr.
Senior Research Scientist
(215) 766-1520
kenzakow@craft-tech.com
Business Contact:
SanfordDash
President & Chief Scientist
(215) 766-1520
dash@craft-tech.com
Research Institute:
n/a
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 significantly boost simulation output, 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.

* information listed above is at the time of submission.

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