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Automating Error Quantification and Reduction for Computational Fluid Dynamics…

Award Information

Department of Defense
Air Force
Award ID:
Program Year/Program:
2007 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Combustion Research and Flow Technology, Inc.
6210 Kellers Church Road Pipersville, PA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 2
Fiscal Year: 2007
Title: Automating Error Quantification and Reduction for Computational Fluid Dynamics (CFD)
Agency / Branch: DOD / USAF
Contract: FA8650-07-C-3703
Award Amount: $749,985.00


Solution errors are inherent in any Computational Fluid Dynamics (CFD) simulation. Sources of error include spatial and temporal discretization, inadequate physical models, 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 laborious and time intensive. Continued development of a standalone Error Transport Equation (ETE) solver is proposed. This tool will provide numerical error bars, quantifiable levels of uncertainty in both local and globally integrated variables. To automate error reduction, the proposed program exploits an existing mesh adaptation package. The CRISP CFDr mesh adaptation code, used with several unstructured Navier-Stokes solvers including the Air Vehicles Unstructured Solver (AVUS), when combined with the ETE solver, provides a promising, viable path for automated error reduction and solution verification. In addition, the proposed program will address uncertainty quantification for detailed studies where the effects of model selection, solver algorithm, boundary conditions, inputs, etc. are systematically varied, through the use of Response Surface models.

Principal Investigator:

Peter A. Cavallo
Senior Research Scientist

Business Contact:

Neeraj Sinha
Vice President & Technica
Small Business Information at Submission:

6210 Keller's Church Road Pipersville, PA 18947

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