Quantifying in-situ rock block size and resulting fragment size distributions due to blasting

Fragblast ◽  
1998 ◽  
Vol 2 (2) ◽  
pp. 205-218 ◽  
Author(s):  
Martin Grenon ◽  
John Hadjigeorgiou ◽  
Qian Liu
2006 ◽  
Vol 86 (1) ◽  
pp. 18-36 ◽  
Author(s):  
John-Paul Latham ◽  
Jan Van Meulen ◽  
Sebastien Dupray

2005 ◽  
Vol 38 (7) ◽  
pp. 789-806 ◽  
Author(s):  
A Rentenier ◽  
P Moretto-Capelle ◽  
D Bordenave-Montesquieu ◽  
A Bordenave-Montesquieu

2014 ◽  
Vol 67 (4) ◽  
pp. 405-412
Author(s):  
Christiane Ribeiro da Silva ◽  
Vládia C. G. de Souza ◽  
Jair C. Koppe

A methodology to determine the size distribution curve of the ROM was developed in a Brazilian iron ore mine. The size of the larger fragments was determined taking photographs and setting the scale of the images to analyze their dimensions (length of their edges and areas). This was implemented according to a specific protocol of sampling that involves split and homogenization stages in situ of a considerable quantity of ore (about 259 metric tonnes). During the sampling process, larger fragments were separated and smaller size material was screened. The methodology was developed initially in order to preview the performance of a primary gyratory crusher that is fed directly from trucks. Operational conditions of the equipment such as closed and open-side settings could be adjusted previously, obtaining different product size distributions. Variability of size of the fragments affects subsequent stages of crushing and can increase circulating load in the circuit. This leads to a decrease of productivity or recovery of the ore dressing. The results showed insignificant errors of accuracy and reproducibility of the sampling protocol when applied to friable itabirite rocks.


2001 ◽  
Vol 31 (4) ◽  
pp. 682-693 ◽  
Author(s):  
John Nelson

Manually designing harvest units for strategic planning is expensive. This paper compares blocking methods based on forest-cover polygons and manually designed harvest units. Routines are used to split and aggregate polygons into three block size distributions: (i) uniform 40-ha blocks; (ii) uniform 120-ha blocks; and (iii) by area, one-third 20 ha, one-third 60 ha, and one-third 150 ha. Three harvest rules that influence adjacency and the cutting of polygons within a block are applied to each block size distribution to compare forecasts generated by forest-cover and operational blocks. Generally, volume flows from the two methods deviate by less than 5%, and the highest deviations usually occur during the first 20 years. Projected landscape structure, as measured by interior forest area, is also similar under the two blocking methods. The results indicate that forest-cover data provide a reasonable alternative to manual blocking in tactical and strategic plans. This is significant because it removes an important barrier to timely and cost-effective planning, especially for large geographic problems where manual blocking is not an option.


1980 ◽  
Vol 60 (3) ◽  
pp. 497-509 ◽  
Author(s):  
G. C. TOPP ◽  
W. D. ZEBCHUK ◽  
J. DUMANSKI

The in situ saturated hydraulic conductivities of nine soil units were measured and cores of the same soil were taken to the laboratory for determination of desorption water capacity relationships. Hydraulic conductivities for the coarse- and fine-textured soils were equivalent and higher than that for medium-textured soils. However, the coarse- and fine-textured soils showed measurably different desorption curves for each of three soil units tested. Variability of duplicate measurements of hydraulic conductivity at sites were found to be considerably less than that of the soil unit as a whole. The highly variable in situ hydraulic conductivities resulted in separations of two groups of soil with significantly different values. A third intermediate group was not significantly different from the other two. The desorption curves were discussed in relation to differences in pore size distributions, identifying proportions of the pore space attributable to structural pores and to textural pores.


Author(s):  
H Vanhaekendover ◽  
R Lindenbergh ◽  
D Ngan-Tillard ◽  
S Slob ◽  
U Wezenberg

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