Issue 42

M. Davydova et alii, Frattura ed Integrità Strutturale, 42 (2017) 170-180; DOI: 10.3221/IGF-ESIS.42.18 171 E XPERIMENTAL CAMPAIGN he fragmentation statistics was studied in the quasi-static compression experiments, performed on prismatic specimens of Mansurov granite, with lateral dimensions of 50 × 50 mm and height of 100 mm. Ten samples were tested on the electro-mechanical testing machine Zwick/Roel Z250 having a capacity of 250 kN (in uniaxial compression tests). Grip displacement rate was controlled taken ranging between 0.02 ÷ 0.2 mm/min. The experiments were performed at room temperature. The characteristic stress-strain curve for tested samples is given in Fig.1. Figure 1 : Characteristic stress-strain curve for granite specimens. F RAGMENTATION STATISTICS he study of fragmentation statistics generally involves the construction of the cumulative function of the fragment size distribution, i.e., determination of the relationships between the number of fragments N , the mass of which is larger than a prescribed value, and the mass m of the fragment. The fragment mass was measured by weighing each fragment on the electronic balance HR-202i (accuracy of the balance was  4 10 g). The large size fragments were weighed separately and small-size fragments were passed through a set of sieves, whose cell size varied from 0.315 to 15 mm. The number of fragments retained on sieves, S N , was varied from 1 to 4 1.5 10  , (Fig.2(b)), and mean fragment mass for different sieves was varied from   5 4.5 10 to 3 g Fig. 2(a). For the sieves with a great number of fragments, the procedure of determination of fragment number, S N , consists of two steps: 1) definition of mean fragment mass, m m ; 2) calculation of number, S N , as:  / S m N M m (1) where M is the total mass of fragments in the sieve. To calculate mean fragment mass, m m , we weight 200 or 300 fragments. The mass of these fragments has to be greater than low balance limit 0.02 g. Fig. 2(b) presents a log-log plot of the cumulative fragment mass distribution for the ten granite samples. This distribution is well described (being  2 0.95 R for six samples, and  2 0.99 R for four samples) by the power law function:   D N Cm (2) Force, kN T T