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Prediction of Rotor Loads from Fuselage Sensors for Improved Structural Modeling and Fatigue Life Calculation

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-17-C-0379
Agency Tracking Number: N17A-009-0057
Amount: $224,966.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N17A-T009
Solicitation Number: 2017.0
Solicitation Year: 2017
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-05-19
Award End Date (Contract End Date): 2018-11-16
Small Business Information
3190 Fairview Park Drive
Falls Church, VA 22042
United States
DUNS: 010983174
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Chance McColl
 Director of Engineering - Marietta, GA
 (770) 516-7750
Business Contact
 Scott Bradfield
Phone: (703) 226-4061
Research Institution
 University of Maryland
 Laura Thorsen
7809 Regents Drive
College Park, MD 20742
United States

 (301) 405-1136
 Nonprofit College or University

For rotorcraft, accurate loads prediction is required across the full flight regime, including turbulent flow, blade-vortex interaction, as well as interactions with the fuselage and tail rotor. Predictive capabilities of modern computational fluid dynamics coupled with computational structural dynamics software must be addressed in the context of technology integration into a real aircrafts fatigue life tracking program, requiring both incorporation of fatigue damage initiation and propagation models for critical fuselage and dynamic components as well as demonstration of performance robust enough to ultimately support near real-time lifing assessments. New technology advances are required. Innovative coupled main rotor-fuselage/tail rotor models must be developed, taking into account direct load measurement for closed-loop feedback used for loads prediction improvements. The methods employed in computational loads analysis must mature. Recent advances in geometry modeling and mesh generation, computational fluid/structural mechanics, coupled multi-physics models, and high-performance computing create a unique opportunity for the development of the next generation of predictive simulation methods and tools for modern rotorcraft, with significantly improved representation of complex geometry and multi-physics phenomena. This effort will produce a comprehensive, physics-based model of a combined main rotor, tail rotor, and fuselage used for rotor loads prediction based on measured fuselage responses.

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

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