Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/EEC2905F-744C-417A-8F12-4199BE7A0C5F | ||
| Year | 1991 | ||
| Type of Item | Peer-Reviewed Journal Publication | ||
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| Bibliographic Citation | G. E. Exadaktylos and C. E. Tsoutrelis, "Fragmentation analysis using the photographic method," Int. J. Surf. Mining Reclamat. Environm., vol. 5, no. 2, pp. 55-64, 1991. doi:10.1080/09208119108944287 https://doi.org/10.1080/09208119108944287 | ||
| Appears in Collections |
A procedure based on photoanalysis was developed for determining the fragmentation distribution of a muckpile that results from blasting assuming that such distribution follows the two parameter Weibull cumulative distribution function. Eight miniature muckpiles of 100 kg. each were constructed from −2 cm, +2−4 cm. +4−6 cm. +6−8 cm, +8−10 cm, +10−12 and +12 sizes of limestone fragments in order to form in each muckpile a biparametric Weibull fragmentation distribution of known paramenters xc and n. Close-up photographs of different sections through each muckpile were taken and analyzed digitally in reference to a dimensioned frame in order to estimate the fragmentation distribution. Comparison of the known fragmentation distribution of each muckpile to that resulted from the photographic analysis proved that in the latter case the fragmentation distribution follows the three parameter Weibull distribution and that the cumulative curves representing the sieve size distribution to that resulting from photographing and uncorrelated. By introducing a statistical approach through the application of the percentile concept considerable improvement was achieved. Simple mathematical expressions have been determined that convert the photoanalysis percentiles to sieve equivalent values. From them the parameters that describe the Weibull fragmentation distribution and therefore the complete actual distribution curve were obtained. Thus parameters obtained from the analysis of photographs taken from a muckpile can be used to describe succesfully its actual fragmentation distribution.
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