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Investigation of the impact of deep convergence on the simulation of hovering rotors

  • Jennifer Abras
  • , Ryan Glasby
  • , Kevin Holst
  • , Nathan Hariharan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

The present effort investigates the impact of deep temporal convergence on hover prediction using the results of a higher-order Stream-wise Upwind/Petrov-Galerkin (SU/PG) finite element method. Both rotational reference frame and spinning rotor computations are pursued as is a comparison of 2nd-order and 4th-order temporal convergence. Both the integrated performance and the wake structure are investigated. The results show that the deeper temporal convergence allows for larger time step sizes without a negative impact to the prediction. The wake features are well resolved and convergence of these features is accelerated through initialization using a rotational steady-state simulation. These simulations lay the groundwork for a larger ongoing effort.

Original languageEnglish
Title of host publicationAIAA Scitech 2021 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Pages1-11
Number of pages11
ISBN (Print)9781624106095
StatePublished - 2021
EventAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021 - Virtual, Online
Duration: Jan 11 2021Jan 15 2021

Publication series

NameAIAA Scitech 2021 Forum

Conference

ConferenceAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021
CityVirtual, Online
Period01/11/2101/15/21

Funding

Material presented in this paper is a product of the CREATE (Computational Research and Engineering for Acquisition Tools and Environments) element of the U.S. Department of Defense HPC Modernization Program. In addition, the authors would like to acknowledge the support of the supercomputing resources provided by the HPCMP, in particular the Air Force Research Lab (AFRL) and the Army Engineer Research and Development Center (ERDC). The blade and hub models, test reports, and standardization guidance provided through the AIAA workshop are also gratefully acknowledged.

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