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Sensitivity Analysis Methods for Complex, Multidisciplinary Systems

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-12-C-0048
Agency Tracking Number: F11B-T06-0113
Amount: $99,793.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF11-BT06
Solicitation Number: 2011.B
Timeline
Solicitation Year: 2011
Award Year: 2012
Award Start Date (Proposal Award Date): 2012-03-01
Award End Date (Contract End Date): N/A
Small Business Information
1582 Inca
Laramie, WY -
United States
DUNS: 831107271
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Dimitri Mavriplis
 Member LLC
 (307) 399-8717
 mavripl@scientific-sims.com
Business Contact
 Dimitri Mavriplis
Title: Member LLC
Phone: (307) 399-8717
Email: mavripl@scientific-sims.com
Research Institution
 University of Wyoming
 Dorothy Yates
 
Research Office, Dept 3355 1000 E. University Ave.
Laramie, WY 82071-2071
United States

 (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. *

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