Enhancements to Overset Methods for Achieving Higher Accuracy and Solution Convergence: Preprint
Overset methods, when utilized within a multi-solver framework, provide a very flexible and powerful toolset for analyzing moving body problem. However, many overset framework suffer from several deficiencies such as (1) convergence degradation of the non-linear iterative schemes (2) difficulty in achieving higher-order accuracy and (3) high computational costs over long simulation times. In this work, we explore approaches that mitigate these deficiencies and provide a pathway for improved accuracy and fidelity of overset methods. A high-order, discontinuous Galerkin solver is integrated into an existing overset framework and applied to an unsteady ROBIN fuselage case. For convergence acceleration, an Overset-GMRES linear solver with a timestep controller is applied to a DLR-F6 aircraft steady simulation and an unsteady, notional rotor-fuselage. Finally the same rotor-fuselage case as well as the JVX rotor/wing case is simulated using a reduced-order aerodynamic model.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC); USDOE National Nuclear Security Administration (NNSA); Exascale Computing Project (ECP); U.S. Department of Defense (DOD), HPC Modernization Program Office, CREATE-AV Element of the Computational Research and Engineering for Acquisition Tools and Environments (CREATE) Program
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1888770
- Report Number(s):
- NREL/CP-2C00-78162; MainId:32071; UUID:515813da-a67d-441d-81c4-fa13d6e23f05; MainAdminID:65499
- Resource Relation:
- Conference: Presented at the AIAA SciTech 2020 Forum, 6-10 January 2020, Orlando, Florida
- Country of Publication:
- United States
- Language:
- English
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