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High-fidelity Multidisciplinary Sensitivity Analysis and Design Optimization for Rotorcraft ApplicationsA multidisciplinary sensitivity analysis of rotorcraft simulations involving tightly coupled high-fidelity computational fluid dynamics and comprehensive analysis solvers is presented and evaluated. A sensitivity-enabled fluid dynamics solver and a nonlinear flexible multibody dynamics solver are coupled to predict aerodynamic loads and structural responses of helicopter rotor blades. A discretely consistent adjoint-based sensitivity analysis available in the fluid dynamics solver provides sensitivities arising from unsteady turbulent flows and unstructured dynamic overset meshes, while a complex-variable approach is used to compute structural sensitivities with respect to aerodynamic loads. The multidisciplinary sensitivity analysis is conducted through integrating the sensitivity components from each discipline of the coupled system. Accuracy of the coupled system is validated by conducting simulations for a benchmark rotorcraft model and comparing solutions with established analyses and experimental data. Sensitivities of lift computed by the multidisciplinary sensitivity analysis are verified by comparison with the sensitivities obtained by complex-variable simulations. Finally the multidisciplinary sensitivity analysis is applied to a constrained gradient-based design optimization for a HART-II rotorcraft configuration.
Document ID
20200002350
Acquisition Source
Langley Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Wang, Li
(National Inst. of Aerospace Hampton, VA, United States)
Diskin, Boris
(National Inst. of Aerospace Hampton, VA, United States)
Biedron, Robert T.
(NASA Langley Research Center Hampton, VA, United States)
Nielsen, Eric J.
(NASA Langley Research Center Hampton, VA, United States)
Bauchau, Olivier A.
(Maryland Univ. College Park, MD, United States)
Date Acquired
April 14, 2020
Publication Date
January 1, 2019
Subject Category
Fluid Mechanics And Thermodynamics
Report/Patent Number
NF1676L-27798
Report Number: NF1676L-27798
Funding Number(s)
WBS: 664817.02.07.03.01
Distribution Limits
Public
Copyright
Public Use Permitted.
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