Novel, Optimal, Physics-Based Reduced Order Models for Nonlinear Aeroelasticity

Award Information
Department of Defense
Air Force
Award Year:
Phase I
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Advanced Dynamics, Inc.
1500 Bull Lea Road, Suite 203, Lexington, KY, 40511
Hubzone Owned:
Socially and Economically Disadvantaged:
Woman Owned:
Principal Investigator:
Patrick Hu
President and Chairman
(859) 699-0441
Business Contact:
Patrick Hu
President and Chairman
(859) 699-0441
Research Institution:
University of Oklahoma
Peter Attar
School of Aerospace and
Mechaincal Engineering
Norman, OK, 73019
(405) 325-1749
Nonprofit college or university
Research is proposed for the development and implementation of state of the art, reduced order nonlinear aeroelastic models for multidisciplinary/multi-fidelity optimization problems. Highly efficient and accurate aeroelastic simulation tools will be constructed based upon the mathematical formalism of optimal prediction theory and a novel implementation of a filtered harmonic balance solution methodology. The implications of the proposed work include orders of magnitude reduction in computational time, with minimal loss of accuracy, for time periodic problems in nonlinear aeroelasticity. The application of the proposed innovations spans the range of flight, from high-speed transport vehicles, to small-scale, flapping Micro-Air vehicles. Anticipated results include 1) the implementation of the proposed reduced order methodology into both a standard grid-based aeroelastic tool and a material point method monolithic aeroelastic solver for the production of technology ready, multi-flow regime aeroelastic simulation tools 2) application of the proposed work to large-scale simulation and comparison with experiment and ¡°full-order¡± aeroelastic simulations 3) advancement of the state of knowledge for nonlinear problems in aeroelasticity in both the subsonic, low Reynolds number regime and transonic high Reynolds number regime and 4) implementation of the reduced-order models into a knowledge-based response surface design optimization tool. BENEFIT: A broad range of US Air Force applications exists for the software infrastructure that is expected to result from this STTR effort, and US Air Force will be the initial target. The direct application to the US Air Force represents a prime opportunity for further product development and enhancement, as well as a potential revenue stream from engineering support and technology acquisition. Various NASA Centers likely to have interests in this technology. Non-military applications represent another potential market sector.Improvements in the computational accuracy and efficiency for aeroelastic modeling are needed for a wide range of aerospace, ocean, and general engineering applications. The accurate assessment of aero-structural properties of aircrafts has been known to be very important in designing safe aircraft. Companies such as Boeing, Bell, Sikorsky, and AeroVironment are our industrial partners, and during our briefing for the technology to be developed in this STTR, they indicated their strong interest. They will be actively involved in this project and they are expected to be immediate users of the end product. In addition, Pratt & Whitney, General Electric, General Dynamics, and Lockheed Martin represent other potential customers that we intend to aggressively pursue. And finally, corresponding companies in Europe and Asia represent an opportunity for exporting the resulting methods and technologies, provided that US Air Force permits us to do this.)

* information listed above is at the time of submission.

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