You are here

Development of Multidisciplinary, Multifidelity Analysis and Integration of Aerospace Vehicles

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-09-C-0135
Agency Tracking Number: F08B-T03-0043
Amount: $99,999.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF08-BT03
Solicitation Number: 2008.B
Solicitation Year: 2008
Award Year: 2009
Award Start Date (Proposal Award Date): 2009-05-05
Award End Date (Contract End Date): 2010-02-05
Small Business Information
605 Ellis Street, Suite 200
Mountain View, CA 94043
United States
DUNS: 050514736
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Patrick Reisenthel
 Vice-President & Chief Sc
 (650) 968-9457
Business Contact
 Patrick Reisenthel
Title: Vice-President & Chief Sc
Phone: (650) 968-9457
Research Institution
 Ohio State University
 Christa Yandrich
224 Bolz Hall 2036 Neil Ave Mall
Columbus, OH 43210
United States

 (614) 247-6080
 Nonprofit College or University

This proposal seeks to pioneer innovative methods for managing data on various levels of fidelity through extensions of previous methods, computational results, and rigorous mathematical results.  Specifically, Multifidelity Sequential Kriging Optimization (MFSKO) will be extended to address multicriteria optimization involving more than a single type of model representing more than a single discipline.  Also, rigorous convergence results from Schonlau (1997) will be extended to multifidelity optimization in the context of radial basis function methods and Kriging models.  Adaptive methods will be developed to achieve probabilistic convergence results and enhance performance.  Results will be illustrated using a flying wing UAV design function integrating information from structural and fluid models.   BENEFIT: Constructing a broad, yet detailed and accurate, portrayal of the design space will help designers manage the design risk and expand design options while remaining cognizant of the associated uncertainties and of the remedies/options available to reduce these uncertainties.  Use of the proposed technology will help reduce the design and life-cycle cost of next-generation high-efficiency flight vehicle systems, and will help attain better designs, by providing a better understanding of how the design variables interact and influence each other under the influence of uncertainty and by incorporating these interactions early in the design process.  Military applications include the design of advanced sensor platforms, UCAVs, and space launch vehicles.  A diverse range of design applications exists beyond the aerospace field, including for example in the renewable energy, chemical and metallurgical industries, in macroeconomics and pharmaceuticals, and in the optimization of manufacturing processes.)

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

US Flag An Official Website of the United States Government