An Efficient Algorithm to Characterize Stress-Strain Data Using Piecewise Linear Curves

    Volume 20, Issue 2 (March 1992)

    ISSN: 0090-3973

    CODEN: JTEOAD

    Page Count: 6


    Vizzini, AJ
    Assistant Professor, University of Maryland, College Park, MD

    (Received 7 September 1990; accepted 4 September 1991)

    Abstract

    An efficient algorithm to characterize experimental stress-strain data is preacated. The algorithm segments the curve into regions by locating regions with a maximum correlation coefficient. Thus the algorithm determines the initial region of the curve to be considered in determining the initial slope or, in the case of a stress versus strain curve, the initial modulus. The algorithm is of particular use in analyzing the elastic behavior of composites where nonlinear stress-strain, knees, damage, and other abnormalities may occur. The results of the algorithm are compared to linear regions determined from calculations of correlation coefficients involving all possible regions within a data file. In general, the algorithm provides the same linear regions as are determiend from the complete calulation of correlation coefficients and is at least one order of magnitude faster.


    Paper ID: JTE11910J

    DOI: 10.1520/JTE11910J

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    Author
    Title An Efficient Algorithm to Characterize Stress-Strain Data Using Piecewise Linear Curves
    Symposium , 0000-00-00
    Committee E08