Automating Error Quantification and Reduction for Computational Fluid Dynamics (CFD)

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,995.00
Award Year:
2006
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-06-M-3630
Award Id:
79296
Agency Tracking Number:
F061-233-0493
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:
Peter Cavallo
Senior Research Scientist
(215) 766-1520
cavallo@craft-tech.com
Business Contact:
Neeraj Sinha
Vice President & Technical Director
(215) 766-1520
sinha@craft-tech.com
Research Institution:
n/a
Abstract
Solution errors are inherent in any Computational Fluid Dynamics (CFD) simulation. Sources of error include spatial and temporal discretization, inadequacy or incapacity of physical models to capture complex fluid flow phenomena, and human errors in the setup and use of the CFD code. Systematic identification, reduction, and control of these various error sources is crucial if the results of CFD simulations are to be trusted for design and performance assessment of air vehicles. While grid refinement studies may verify the spatial accuracy of a solution, these studies are generally very laborious and time intensive. Solution verification using Richardson extrapolation techniques has largely been limited to structured grid applications. To automate grid refinement studies and solution verification for unstructured meshes, and render such studies more practical, the proposed research program exploits an existing mesh adaptation package and recent advances in generalized Richardson extrapolation. The CRISP CFDr mesh adaptation code, used with several unstructured Navier-Stokes solvers including the Air Vehicles Unstructured Solver (AVUS), provides a viable path for automated mesh refinement and solution verification. In addition to solution verification studies, the proposed research will explore issues in mesh suitability and ways of addressing errors due to near wall resolution and human factors.

* information listed above is at the time of submission.

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