Fragmentation analysis using the photographic method

Exadaktylos George, E; Tsoutrelis Charalambos, E

dc.contributor.author	Exadaktylos George, E	en
dc.contributor.author	Tsoutrelis Charalambos, E	en
dc.date.accessioned	2014-03-01T01:40:48Z
dc.date.available	2014-03-01T01:40:48Z
dc.date.issued	1991	en
dc.identifier.issn	09208119	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/23246
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0025790828&partnerID=40&md5=f72222da2c19517b22f19a656f440da0	en
dc.subject.other	Image Processing--Image Analysis	en
dc.subject.other	Particle Size Analysis--Photography	en
dc.subject.other	Rock--Explosions	en
dc.subject.other	Statistical Methods--Statistical Tests	en
dc.subject.other	Muckpile Fragmentation Distribution	en
dc.subject.other	Photographic Image Analysis	en
dc.subject.other	Rock Fragmentation Analysis	en
dc.subject.other	Weibull Distribution Functions	en
dc.subject.other	Mines and Mining	en
dc.title	Fragmentation analysis using the photographic method	en
heal.type	journalArticle	en
heal.publicationDate	1991	en
heal.abstract	A procedure based on photoanalysis was developed for determining the fragmentation distribution of a muckpile that results from blasting assuming that such a 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 resulting 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 correlate to that resulting from photographing. 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.	en
heal.journalName	International journal of surface mining & reclamation	en
dc.identifier.volume	5	en
dc.identifier.issue	2	en
dc.identifier.spage	55	en
dc.identifier.epage	64	en