Journal Published Online: 01 March 1992
Volume 20, Issue 2

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



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.

Author Information

Vizzini, AJ
University of Maryland, College Park, MD
Pages: 6
Price: $25.00
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Stock #: JTE11910J
ISSN: 0090-3973
DOI: 10.1520/JTE11910J