Sensitivity Analysis Methods for Complex, Multidisciplinary Systems

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,793.00
Award Year:
2012
Program:
STTR
Phase:
Phase I
Contract:
FA9550-12-C-0048
Award Id:
n/a
Agency Tracking Number:
F11B-T06-0113
Solicitation Year:
2011
Solicitation Topic Code:
AF11-BT06
Solicitation Number:
2011.B
Small Business Information
1582 Inca, Laramie, WY, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
831107271
Principal Investigator:
Dimitri Mavriplis
Member LLC
(307) 399-8717
mavripl@scientific-sims.com
Business Contact:
Dimitri Mavriplis
Member LLC
(307) 399-8717
mavripl@scientific-sims.com
Research Institution:
University of Wyoming
Dorothy Yates
Research Office, Dept 3355
1000 E. University Ave.
Laramie, WY, 82071-2071
(307) 766-5320
Nonprofit college or university
Abstract
ABSTRACT: The objective of this proposal is to develop efficient sensitivity analysis methods based on adjoint techniques for multi-disciplinary time-dependent problems. The approach is based on the discrete adjoint, which will be derived and implemented on a software component basis, with the various multidisciplinary software components being linked together through a Python interface, thus preserving modularity, and enabling the application of the adjoint approach to legacy disciplinary solvers. For the Phase 1 project, the emphasis will be on non-linear time-dependent aeroelastic problems, and the adjoint derived sensitivities will be used to drive a flutter optimization problem. The approach will be fully verifiable to machine precision by including a scripted complex variable verification capability. The overall approach is designed to be extendable in Phase 2 to more complex multidisciplinary problems involving additional disciplines such as aerothermodynamics, and to provide an eventual path forward towards higher order sensitivity methods for use in optimization and/or uncertainty quantification. BENEFIT: The extension of adjoint methods to time-dependent multidisciplinary problems will enable new capabilities in computational aerospace engineering. Aeroelastic optimization through optimal selection of structural parameters and tradeoffs between aerodynamic performance and structural rigidity will be enabled. This will be of immediate use to government programs involved in the design of conventional fixed wing aircraft, rotorcraft, high altitude UAVs, and other non-conventional configurations. Commercial applications include the development of design tools for fixed and rotary wing commercial aircraft that combine in a unified manner both structural and aerodynamic design considerations.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government