The issue of model reduction is one that must often be overcome in order to perform the necessary checks as part of the spacecraft finite element model validation process. This work compares different reduction methods: specifically, the popular and longstanding Guyan method and the potentially more accurate system equivalent reduction expansion process. The influence of sensor set location on the quality of the reduced model is also considered, and the commonly applied methods to maximize kinetic energy and effective independence are applied. These investigations take the form of studies involving two large, unique, scientific spacecraft. The computational results are compared with experimental results that are also detailed in the paper. The findings highlight the potential issues with the accuracy of a Guyan reduced model in replicating the full system dynamics, even with a reasonably large sensor set. It is shown that this can be improved slightly in some circumstances through implementation of sensor set placement optimization techniques. The system equivalent reduction expansion process method is shown to have the benefit of being more accurate at replicating the full system behavior than the more traditional Guyan method while also producing higher diagonal values in cross-orthogonality comparisons between the finite element model and the test.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Model Reduction and Sensor Placement Methods for Finite Element Model Correlation


    Contributors:

    Published in:

    AIAA Journal ; 54 , 12 ; 3941-3955


    Publication date :

    2016-12-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English