NASA SBIR 2017 Solicitation

FORM B - PROPOSAL SUMMARY


PROPOSAL NUMBER: 171 A1.10-9734
SUBTOPIC TITLE: Hypersonic Technology-Improvement in Solar Operability Predictions using Computational Algorithms
PROPOSAL TITLE: Non-Intrusive Computational Method and Uncertainty Quantification Tool for isolator operability calculations

SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
CFD Research Corporation
701 McMillian Way Northwest, Suite D
Huntsville, AL 35806 - 2923
(256) 726-4800

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Dr. Ragini Acharya
ragini.acharya@cfdrc.com
701 McMillian Way, NW, Ste. D
Huntsville, AL 35806 - 2923
(256) 726-4826

CORPORATE/BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Mrs. Silvia Harvey
sxh@cfdrc.com
701 McMillian Way Northwest, Suite D
Huntsville, AL 35806 - 2923
(256) 726-4858

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 1
End: 3

Technology Available (TAV) Subtopics
Hypersonic Technology-Improvement in Solar Operability Predictions using Computational Algorithms is a Technology Available (TAV) subtopic that includes NASA Intellectual Property (IP). Do you plan to use the NASA IP under the award?
No

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
Computational fluid dynamics (CFD) simulations are extensively used by NASA for hypersonic aerothermodynamics calculations. The physical models used in CFD codes and initial/boundary conditions for numerical simulations carry significant uncertainties. There are also inherent errors in experiments designed for model validation, and numerical discretization. Despite this knowledge, only a limited number of efforts have been undertaken to formally characterize these uncertainties and to evaluate their impact on the predictive capability of CFD tools for hypersonic applications such as isolator dynamics. Major challenges with uncertainty quantification for such simulations include lack of sufficient data to characterize the associated uncertainties in the isolator dynamics phenomena and the computational cost of the required large number of cases. CFDRC in partnership with Virginia Tech and UTSI proposes to directly address these issues and deliver an non-intrusive tool for uncertainty quantification that can be integrated with the state-of-the-art CFD tools currently utilized by NASA and its customers. During Phase I, this team will develop and demonstrate a dimensionally adaptive sparse grid approach for uncertainty quantification coupled with NASA LaRC VULCAN-CFD code. In phase I, the developed tool will be demonstrated on the test rig developed and characterized at the NASA-LaRC Isolator Dynamics Research Lab. Surrogate models including polynomial response surface and gradient-enhanced Kriging will be developed based upon the samples generated from the adaptively sparse grid algorithm, thereby providing a modeling tool to estimate the operability of isolator over the relevant flight regime and ultimately to optimize design of isolator to prevent scramjet unstart. In Phase II, the framework will be further developed to include uncommon probability density distributions of uncertain parameters, and will be validated and demonstrated on more complex problems.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
Non-intrusive uncertainty quantification has been identified as an enabling technology to advance the role of computational fluid dynamics codes in the Design Development Research and Engineering community, ultimately leading to utilization for certification for flight. The proposed computational product offers a direct solution to link the various sources of uncertainties to predictions made by CFD tools, thereby enabling the usability of CFD tools for making risk-informed design decisions. The adaptive sparse grid method offers a significant advantage over other uncertainty quantification methods due to the ability to handle non-smooth system response with complex probability density distributions and much smaller number of required CFD simulations. This product can be a highly effective tool for wider applications requiring aerothermodynamics calculations where the lack of confidence in modeling parameters and predictive capability of the CFD codes has limited their impact.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The work established in this project can be transitioned to support a significant number of other applications where reacting CFD modeling tools are utilized. Energy and propulsion applications such as gas-turbine combustors, augmentors, rockets, and many others can benefit from the product developed in the proposed work.

TECHNOLOGY TAXONOMY MAPPING (NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.)
Aerodynamics
Air Transportation & Safety
Atmospheric Propulsion
Models & Simulations (see also Testing & Evaluation)
Quality/Reliability
Software Tools (Analysis, Design)
Verification/Validation Tools

Form Generated on 04-19-17 12:59