Qualitative Interpretation of
Creep and Relaxation Experimental Data
by A.C. Capelo, L. Ironi, S. Tentoni
in Applications of Artificial Intelligence
in Engineering X, R.A. Adey, G. Rzevski, C. Tasso eds.,
Computational Mechanics Publications (1995), 129-136.
ABSTRACT
Automated interpretation of experimental data is a necessary component
in automated model building environments, i.e. tools capable to select a model which
explains the observed behavior of a physical system.
This paper describes an algorithm to automate the qualitative interpretation
of experimental data whose goal is to single out the qualitative properties
which characterize the behavior of a real physical system, and, consequently, to
make a guess for a set of plausible candidate models of the phenomenon under
study. We consider observations which are gathered from creep and relaxation
experiments on visco-elastic materials. In this specific context, the
interpretation problem consists in determining rules for
the conversion of the numerical data into the specific qualitative
properties which characterize the creep and relaxation response of the
material. Such properties allow us to select within a library of mathematical
models of ideal materials a set of candidate models which describe, at
least qualitatively, the behavior of the material.
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Liliana Ironi
June 25th, 1996