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Multi-Fidelity Surrogate Modeling for Computational and Experimental Data Consolidation

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: 80NSSC18P1891
Agency Tracking Number: 186112
Amount: $124,915.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A1
Solicitation Number: SBIR_18_P1
Solicitation Year: 2018
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-07-27
Award End Date (Contract End Date): 2019-02-15
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
 Andrew Kaminsky
 (865) 643-4007
Business Contact
 Silvia Harvey
Phone: (256) 726-4858
Research Institution

The goal of the project is to develop a mathematically rigorous, multi-fidelity surrogate modeling (MFSM) methodology to consolidate experimental and computational aerodynamic data into integrated databases with quantifiable uncertainty. The salient aspects of the proposed solution are: (1) a hierarchical MFSM formulation to encapsulate local response surface modeling, model adaptation/fusion, interpolation/blending, and uncertainty quantification onto a holistic platform; (2) a suite of surrogate modeling techniques to capture the local aerodynamic behavior around the operating points; (3) formal adaptation/fusion techniques to bridge the gap of fidelity and merge data from multiple sources; (4) a global data interpolation strategy to stitch the local models for accurate prediction in a broad flight parameter space; and (5) a modular software framework to automate the process and facilitate integration with NASA’s data analysis workflow. In Phase I, all key components will be designed and developed. Feasibility will be demonstrated via case studies of NASA interest, in which computational, wind tunnel, and flight test data will be analyzed and merged using the developed software and its performance (e.g., accuracy, reliability, data compatibility, and integrability) will be assessed. The Phase II effort will focus on capability extension, algorithm optimization, technology integration/insertion, and extensive validation and demonstration.

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

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