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Microcracking based rock classification using ultrasonic and porosity parameters and multivariate analysis methods

type de publication      article dans une revue internationale avec comité de lecture
date de publication 2013
auteur(s) Hamdi Essaieb; Lafhaj Zoubeir
journal (abréviation) Engineering Geology (Eng Geol)
volume (numéro) 167
  
pages 27 – 36
résumé This work aims at presenting a new methodology, based on NDT ultrasonic techniques and water porosity measurements, to characterize the microcracking state of rocks and classify them in microcracking based equivalent groups. The measurements of ultrasonic pulse velocity, the attenuation coefficient and the porosity by water saturation under vacuum conditions, makes it possible comparing and validating all these techniques as good practices to classify aggregates and ornamental stones with regards to their rock matrix compactness. Beyond the fact that these developments give new approaches to assess the rock microcrackning, it was shown that these parameters have a direct relationship. Indeed, the classification methodology was applied to a database containing 56 cores coming from blocks sampled in an aggregates production quarry. For these cores, ultrasonic parameters (wave velocity, attenuation and anisotropy coefficients) and porosity parameters (total water, crack and pore porosities) were measured. Two multivariate statistical methods (Principal Component Analysis and Cluster Analysis) were applied on this database to assess the relationship between all these parameters and to classify the cores into micro-structurally similar groups. The application of the set up methodology on the core database allows us studying the main correlations between the measured microcracking rock properties. On the other hand, it was shown that the method can be used as an effective way to characterize the differences in terms of microstructure between rock samples.
mots clés Microcracks; porosity; ultrasonic pulse velocity; attenuation; principal component analysis; cluster analysis
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