In Honor of Nobel Laureate Prof. Ferid Murad

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Abstract Submission

S.K. Kourkoulis

National Technical University of Athens

Applying Concepts Of “non-extensive Statistical Physics” For The Detection Of Pre-failure Indicators
2nd Intl Symp on Geomechanics & Applications for Sustainable Development

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Non-Extensive Statistical Physics (NESP) is based on a generalization of the standard Boltzmann-Gibbs expression of the entropy. It was introduced a few decades ago by Tsallis [1] in an attempt to describe and enlighten phenomena with “anomalous” behaviour for which the statistical mechanical concepts of the Boltzmann-Gibbs approach have been proven inadequate. A typical class of such phenomena are the ones involving long-range interactions and memory effects. Given that fracture is characterized by both long-range interactions and memory effects [2], it is reasonable to examine whether the mechanical response of brittle building materials at load levels approaching these causing fractures could be described in terms of concepts based on NESP. The challenge is to detect proper and clear indicators that could be considered as early warning signals of the upcoming entrance of the system (loaded specimen or structure) into its “critical stage”, i.e., that of impending fracture. In this direction, advantage is taken of experimental data gathered from a long series of experimental protocols with specimens made of brittle building materials submitted to a variety of loading schemes (direct tension, uniaxial compression, three-point bending, shear) either monotonic or stepwise. The protocols include both elementary and structural tests. The study is carried out in terms of characteristic parameters of the Acoustic Emissions detected during loading. It is concluded that the time evolution of the entropic parameters of NESP provide reliable pre-failure indicators, in good agreement to the respective ones obtained from completely different analyses of the acoustic activity (as it is, for example, the F-function [3] or the Ib-value) or even from different monitoring tools (as it is, for example, the Pressure Stimulated Currents technique [4]).