Enhancements to Overset Methods for Achieving Higher Accuracy and Solution Convergence: Preprint

Conference · Fri Sep 16 04:00:00 EDT 2022

OSTI ID:1888770

Jude, Dylan; Sitaraman, Jayanarayanan; Brazell, Michael

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 Laboratory (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
• Country of Publication: United States
• Language: English

Related Subjects

Discontinuous Galerkin
MATHEMATICS AND COMPUTING
aerospace
high-order
overset