Non-Intrusive Computational Method and Uncertainty Quantification Tool for Isolator Operability Calculations

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: 80NSSC18C0054
Agency Tracking Number: 174266
Amount: $749,976.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: A1
Solicitation Number: SBIR_17_P2
Solicitation Year: 2017
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-06-05
Award End Date (Contract End Date): 2020-06-04
Small Business Information
701 McMillian Way Northwest, Suite D, Huntsville, AL, 35806-2923
DUNS: 185169620
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Ragini Acharya
 (256) 726-4800
Business Contact
 Silvia Harvey
Phone: (256) 726-4858
Research Institution

Computational fluid dynamics (CFD) technology plays a strong role in the design and development of aerospace and defense vehicles such as high-speed applications where testing under the correct operational conditions is not yet viable.  Despite decades of research towards making CFD predictive and reliable, it has not proven so due to the significant uncertainties in physical models, initial/boundary conditions, computational mesh, numerical schemes and methods. In the proposed effort CFDRC in partnership with Virginia Tech and UTSI, aims to directly address these issues by integrating dimensionally adaptive sparse grid uncertainty quantification (UQ) method with an existing reacting CFD solver. The proposers demonstrated this approach to be suitable for achieving this objective during Phase I on a NASA-LaRC nozzle-isolator lab-scale setup. The proposed effort will deliver a practical user-friendly automated software tool combining UQ with CFD (UQCFD), capable of identifying and characterizing regions of high-uncertainty in the CFD code and the associated work-flow, and thereby, provide guidance to the CFD modeler to increase fidelity of those regions. UQCFD software has the potential to make significant impact on a wide variety of application utilizing CFD predictions including design and development of next generation supersonic and hypersonic flight vehicles.

* Information listed above is at the time of submission. *

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