(Received 5 April 2012; accepted 2 August 2012)
Published Online: 2013
| ||Format||Pages||Price|| |
|PDF (2.1M)||14||$25||  ADD TO CART|
This paper presents computer procedures for the calculation of offset yield strength (Sy) and for the evaluation of the uncertainty in its computation. Offset yield strength is obtained from the plot of stress-strain data recorded in a tension test, as the stress that corresponds to the intersection between the stress-strain curve and a line parallel to its proportional region (offset by a prescribed strain). In the proposed method, the problem is reduced to finding the point of intersection between two straight lines, one that fits the curve in the neighborhood of the intersection and the offset line. For the fitting of each line, we propose the use of a weighted total least-squares algorithm that takes into account uncertainties in both ordinates and abscissas. The evaluation of the uncertainty associated with Sy, in accordance with the Guide to the Expression of Uncertainty in Measurement, considers the correlation between the parameters involved in its calculation. The implementation of these procedures motivated the development of dedicated software for the computation of tensile parameters from tension-test raw data and for the estimation of their associated uncertainties. To validate the program, developed in MATLAB as a standalone application, we used a set of ASCII data curves that have agreed values for the tensile parameters and which are publicly available at the web site of the National Physical Laboratory of the United Kingdom. Using these curves we demonstrate the validity of the proposed method for the computation of Sy; to validate the uncertainty-evaluation procedure, we use the law of propagation of probability distributions through Monte Carlo simulation. The computational tool, whose capabilities are presented in this work, is currently being used at the Laboratory of Mechanical Testing of the National Institute of Industrial Technology (INTI), in Córdoba, Argentina.
Matusevich, Ariel E.
Research Engineer, INTI-Córdoba, and Assistant Professor, Departamento de Estructuras, Universidad Nacional de Córdoba, Córdoba,
Massa, Julio C.
Professor, Departamento de Estructuras, Universidad Nacional de Córdoba, Córdoba,
Mancini, Reinaldo A.
Head of the Materials Division, INTI-Córdoba, and Assistant Professor, Departamento de Materiales y Tecnología, Universidad Nacional de Córdoba, Córdoba,
Stock #: JTE20120100