Wavelets are used to analyze automobile crash responses. Crash signals are decomposed into a wavelet basis, which provides an intuitive vision of impact behavior of the vehicle structure. The decomposed signals are further divided into segments that represent vibrations occurring in certain time spans. A correlation analysis is then performed on the decomposed and segmented signals, in order to determine the relationship between the dynamic behaviors of different structural components, particularly the relationship between the short-time vibrations in different parts. The structural responses in a full frontal impact test are analyzed. The information obtained is useful for the refinement and validation of a finite element automobile crash model.


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    Title :

    Correlation analysis of automobile crash responses using wavelets


    Contributors:
    Cheng, Z. (author) / Pilkey, W.D. (author) / Darvish, K. (author) / Hollowell, W.T. (author) / Crandall, J.R. (author)


    Publication date :

    2001


    Size :

    7 Seiten, 6 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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