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Efficient modeling of generalized aerodynamic forces across mach regimes using neuro-fuzzy approaches

  • Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

In the presentwork, a nonlinear reduced-order modeling (ROM) approach based on dynamic local linear neuro-fuzzy models is presented for predicting unsteady aerodynamic loads in the time domain. In order to train the input-output relationship between the structural motion and the corresponding flow-induced loads, the local linear model tree (LOLIMOT) algorithm has been implemented. Furthermore, the Mach number is incorporated as an additional input parameter to account for different free-stream conditions with a single model. The approach is applied to the AGARD 445.6 configuration in order to demonstrate the efficiency and fidelity of the proposed method. It is indicated that the ROM-based time domain generalized aerodynamic forces (GAFs) show good agreement with the respective full-order CFD solution (AER-Eu). A further comparison in the frequency domain confirms the validity of the approach. Moreover, the potential of the method for reducing the numerical effort of aeroelastic analyses is highlighted.

Original languageEnglish
Title of host publicationNew Results in Numerical and Experimental Fluid Mechanics X - Contributions to the 19th STAB/DGLR, 2014
EditorsAndreas Dillmann, Ewald Krämer, Gerd Heller, Christian Breitsamter, Claus Wagner
PublisherSpringer Verlag
Pages467-477
Number of pages11
ISBN (Print)9783319272788
DOIs
StatePublished - 2016
Event19th Symposium on New Results in Numerical and Experimental Fluid Mechanics, DGLR/STAB - Munich, Germany
Duration: 4 Nov 2014 → 5 Nov 2014

Publication series

NameNotes on Numerical Fluid Mechanics and Multidisciplinary Design
Volume132
ISSN (Print)1612-2909

Conference

Conference19th Symposium on New Results in Numerical and Experimental Fluid Mechanics, DGLR/STAB
Country/TerritoryGermany
CityMunich
Period4/11/14 → 5/11/14

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