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

Dylan Jude, Jayanarayanan Sitaraman, Michael Brazell

Research output: Contribution to conferencePaper


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.
Original languageAmerican English
Number of pages28
StatePublished - 2022
EventAIAA Scitech 2020 Forum - Orlando FL
Duration: 6 Jan 202010 Jan 2020


ConferenceAIAA Scitech 2020 Forum
CityOrlando FL

NREL Publication Number

  • NREL/CP-2C00-78162


  • aerospace
  • Discontinuous Galerkin
  • high-order
  • overset


Dive into the research topics of 'Enhancements to Overset Methods for Achieving Higher Accuracy and Solution Convergence: Preprint'. Together they form a unique fingerprint.

Cite this