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##### Volume 20, Issue 2 (March 1992)

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

(Received 7 September 1990; accepted 4 September 1991)

**CODEN:** JTEOAD

**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.

**Author Information:**

Vizzini, AJ

*Assistant Professor, University of Maryland, College Park, MD*

**Stock #:** JTE11910J

**ISSN:** 0090-3973

**DOI:** 10.1520/JTE11910J

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

Symposium , 0000-00-00

Committee E08