Neural networks are flexible modeling tools that can be used in conjunction with multi-body dynamics models to better predict nonlinear behaviour of components. This paper focuses on a process that incorporates a neural network model of a nonlinear damping force into a single degree of freedom mass-spring-damper model. Software tools and their interaction are specified. The verification of this process is the focal point of this paper and is a necessary step before further correlation studies can be performed on more complex component representations.


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    Titel :

    Improving Virtual Durability Simulation with Neural Network Modeling Techniques


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Johrendt, J. L. (Autor:in) / Malik, M. A. (Autor:in) / Frise, P. R. (Autor:in)

    Kongress:

    SAE 2005 World Congress & Exhibition ; 2005



    Erscheinungsdatum :

    11.04.2005




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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