Finite element analysis is a standard tool for deterministic or probabilistic design optimization of dynamic systems. The optimization process requires repeated eigenvalue analyses which can be computationally expensive. Several reanalysis techniques have been proposed to reduce the computational cost including Parametric Reduced Order Modeling (PROM), Combined Approximations (CA), and the Modified Combined Approximations (MCA) method. Although the cost of reanalysis is substantially reduced, it can still be high for models with a large number of degrees of freedom and a large number of design variables. Reanalysis methods use a basis composed of eigenvectors from both the baseline and the modified designs which are in general linearly dependent. To eliminate the linear dependency and improve accuracy, Gram Schmidt orthonormalization is employed which is costly itself. In this paper, we propose a method to reduce the orthonormalization cost and improve the computational efficiency of the PROM reanalysis method. Our method eliminates non-important design variables and/or reduces the basis size by eliminating redundant modes. A vibratory analysis of an automotive door demonstrates the efficiency and accuracy of the proposed method.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Improved Reanalysis Method Using Parametric Reduced Order Modeling for Linear Dynamic Systems


    Weitere Titelangaben:

    Sae International Journal of Passenger Cars. Mechanical Systems
    Sae Int. J. Passeng. Cars - Mech. Syst


    Beteiligte:

    Kongress:

    SAE 2016 World Congress and Exhibition ; 2016



    Erscheinungsdatum :

    2016-04-05


    Format / Umfang :

    8 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Reanalysis of Linear Dynamic Systems using Modified Combined Approximations with Frequency Shifts

    Haider, Syed F. / Mourelatos, Zissimos | SAE Technical Papers | 2016


    Non-Intrusive Parametric Reduced Order Modeling using Randomized Algorithms

    Rajaram, Dushhyanth / Puranik, Tejas G. / Perron, Christian et al. | AIAA | 2020



    Switched Dynamic Systems for Reduced-Order Flow Modeling

    Hamilton, H.H. | Online Contents | 2008