Development of a New Model to Predict Uniformity Index of Fragment Size Distribution Based on the Blasthole Parameters and Blastability Index
Uniformity index n represents the range of fragment size distribution and it is applied to evaluate fragment size by Rosin and Rammler cumulative distribution function for a muck pile. The uniformity index n of fragment size distribution has been assessed by digital image analysis technique using Sp...
Gespeichert in:
| Veröffentlicht in: | Journal of mining science 2020-01, Vol.56 (1), p.47-58 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 58 |
|---|---|
| container_issue | 1 |
| container_start_page | 47 |
| container_title | Journal of mining science |
| container_volume | 56 |
| creator | Nourian, A. Moomivand, H. |
| description | Uniformity index
n
represents the range of fragment size distribution and it is applied to evaluate fragment size by Rosin and Rammler cumulative distribution function for a muck pile. The uniformity index
n
of fragment size distribution has been assessed by digital image analysis technique using Split-Desktop for several blasthole parameters and different zones of in-situ rock mass conditions in five mines having a wide range of blastabilty index (BI). Rosin and Rammler equation has been determined by a new procedure using a software entitled Pixler to delineate images the same as manual method for achieving a proper fragment size distribution by Split-Desktop. The obtained values of n had significant differences with estimated n by the former equations. Relations between n and several blasthole parameters, BI and mean fragment size
X
50
of the results and their various combinations have been analyzed. Finally, a new empirical model having a good correlation has been developed to predict
n
value for using 25 ms electric delay detonators. |
| doi_str_mv | 10.1134/S1062739120016478 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2417799734</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A630993416</galeid><sourcerecordid>A630993416</sourcerecordid><originalsourceid>FETCH-LOGICAL-c462t-d2c0e16876e765e69e2d1d506a7b69b3f32abc88389d851888618879001c19e83</originalsourceid><addsrcrecordid>eNqNkstO3DAUhiNUpFLaB-jOEqsuAr4kviy5lDISLYgp68iJTwajxB5sTwu8A-9cT4NKEaqoLNlHPt_3WzpyUXwkeJcQVu3NCeZUMEUoxoRXQm4UW6QWrJSC8Te5zu1y3X9bvIvxGmOsJFdbxcMR_IDBL0dwCfkeafQNfqKv3sCAkkfnAYztErp0tvdhtOkOzZyB2zV6HPTitza394CObEzBtqtkvUMHOoJBuUhXgA4GHdOVHwCd66BHSBAi0s5MDd3a4U_s-2Kz10OED4_ndnF5_Pn74Ul5evZldrh_WnYVp6k0tMNAuBQcBK-BK6CGmBpzLVquWtYzqttOSiaVkTWRUvK8CZVH0xEFkm0XO1PuMvibFcTUXPtVcPnJhlZECKUEqzK1O1ELPUBjXe9T0F1eBkbbeQe9zff7XGIuairwfwsMK8UqwrPw6ZmQmQS3aaFXMTaz-cXz8FfZv3LJxHbBxxigb5bBjjrcNQQ36__SvPgv2aGTEzPrFhCeZvJv6RcirL8k</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2417799734</pqid></control><display><type>article</type><title>Development of a New Model to Predict Uniformity Index of Fragment Size Distribution Based on the Blasthole Parameters and Blastability Index</title><source>SpringerLink</source><creator>Nourian, A. ; Moomivand, H.</creator><creatorcontrib>Nourian, A. ; Moomivand, H.</creatorcontrib><description>Uniformity index
n
represents the range of fragment size distribution and it is applied to evaluate fragment size by Rosin and Rammler cumulative distribution function for a muck pile. The uniformity index
n
of fragment size distribution has been assessed by digital image analysis technique using Split-Desktop for several blasthole parameters and different zones of in-situ rock mass conditions in five mines having a wide range of blastabilty index (BI). Rosin and Rammler equation has been determined by a new procedure using a software entitled Pixler to delineate images the same as manual method for achieving a proper fragment size distribution by Split-Desktop. The obtained values of n had significant differences with estimated n by the former equations. Relations between n and several blasthole parameters, BI and mean fragment size
X
50
of the results and their various combinations have been analyzed. Finally, a new empirical model having a good correlation has been developed to predict
n
value for using 25 ms electric delay detonators.</description><identifier>ISSN: 1062-7391</identifier><identifier>EISSN: 1573-8736</identifier><identifier>DOI: 10.1134/S1062739120016478</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Analysis ; Detonators ; Digital imaging ; Distribution (Probability theory) ; Distribution functions ; Earth and Environmental Science ; Earth Sciences ; Empirical analysis ; Geophysics/Geodesy ; Geotechnical Engineering & Applied Earth Sciences ; Image analysis ; Image processing ; Mathematical models ; Mineral Resources ; Parameters ; Rock Failure ; Rosin ; Size distribution</subject><ispartof>Journal of mining science, 2020-01, Vol.56 (1), p.47-58</ispartof><rights>Pleiades Publishing, Ltd. 2020</rights><rights>COPYRIGHT 2020 Springer</rights><rights>Pleiades Publishing, Ltd. 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c462t-d2c0e16876e765e69e2d1d506a7b69b3f32abc88389d851888618879001c19e83</citedby><cites>FETCH-LOGICAL-c462t-d2c0e16876e765e69e2d1d506a7b69b3f32abc88389d851888618879001c19e83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1134/S1062739120016478$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1134/S1062739120016478$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Nourian, A.</creatorcontrib><creatorcontrib>Moomivand, H.</creatorcontrib><title>Development of a New Model to Predict Uniformity Index of Fragment Size Distribution Based on the Blasthole Parameters and Blastability Index</title><title>Journal of mining science</title><addtitle>J Min Sci</addtitle><description>Uniformity index
n
represents the range of fragment size distribution and it is applied to evaluate fragment size by Rosin and Rammler cumulative distribution function for a muck pile. The uniformity index
n
of fragment size distribution has been assessed by digital image analysis technique using Split-Desktop for several blasthole parameters and different zones of in-situ rock mass conditions in five mines having a wide range of blastabilty index (BI). Rosin and Rammler equation has been determined by a new procedure using a software entitled Pixler to delineate images the same as manual method for achieving a proper fragment size distribution by Split-Desktop. The obtained values of n had significant differences with estimated n by the former equations. Relations between n and several blasthole parameters, BI and mean fragment size
X
50
of the results and their various combinations have been analyzed. Finally, a new empirical model having a good correlation has been developed to predict
n
value for using 25 ms electric delay detonators.</description><subject>Analysis</subject><subject>Detonators</subject><subject>Digital imaging</subject><subject>Distribution (Probability theory)</subject><subject>Distribution functions</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Empirical analysis</subject><subject>Geophysics/Geodesy</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Image analysis</subject><subject>Image processing</subject><subject>Mathematical models</subject><subject>Mineral Resources</subject><subject>Parameters</subject><subject>Rock Failure</subject><subject>Rosin</subject><subject>Size distribution</subject><issn>1062-7391</issn><issn>1573-8736</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqNkstO3DAUhiNUpFLaB-jOEqsuAr4kviy5lDISLYgp68iJTwajxB5sTwu8A-9cT4NKEaqoLNlHPt_3WzpyUXwkeJcQVu3NCeZUMEUoxoRXQm4UW6QWrJSC8Te5zu1y3X9bvIvxGmOsJFdbxcMR_IDBL0dwCfkeafQNfqKv3sCAkkfnAYztErp0tvdhtOkOzZyB2zV6HPTitza394CObEzBtqtkvUMHOoJBuUhXgA4GHdOVHwCd66BHSBAi0s5MDd3a4U_s-2Kz10OED4_ndnF5_Pn74Ul5evZldrh_WnYVp6k0tMNAuBQcBK-BK6CGmBpzLVquWtYzqttOSiaVkTWRUvK8CZVH0xEFkm0XO1PuMvibFcTUXPtVcPnJhlZECKUEqzK1O1ELPUBjXe9T0F1eBkbbeQe9zff7XGIuairwfwsMK8UqwrPw6ZmQmQS3aaFXMTaz-cXz8FfZv3LJxHbBxxigb5bBjjrcNQQ36__SvPgv2aGTEzPrFhCeZvJv6RcirL8k</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Nourian, A.</creator><creator>Moomivand, H.</creator><general>Pleiades Publishing</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>7TN</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope></search><sort><creationdate>20200101</creationdate><title>Development of a New Model to Predict Uniformity Index of Fragment Size Distribution Based on the Blasthole Parameters and Blastability Index</title><author>Nourian, A. ; Moomivand, H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c462t-d2c0e16876e765e69e2d1d506a7b69b3f32abc88389d851888618879001c19e83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analysis</topic><topic>Detonators</topic><topic>Digital imaging</topic><topic>Distribution (Probability theory)</topic><topic>Distribution functions</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Empirical analysis</topic><topic>Geophysics/Geodesy</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Image analysis</topic><topic>Image processing</topic><topic>Mathematical models</topic><topic>Mineral Resources</topic><topic>Parameters</topic><topic>Rock Failure</topic><topic>Rosin</topic><topic>Size distribution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nourian, A.</creatorcontrib><creatorcontrib>Moomivand, H.</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Journal of mining science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nourian, A.</au><au>Moomivand, H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of a New Model to Predict Uniformity Index of Fragment Size Distribution Based on the Blasthole Parameters and Blastability Index</atitle><jtitle>Journal of mining science</jtitle><stitle>J Min Sci</stitle><date>2020-01-01</date><risdate>2020</risdate><volume>56</volume><issue>1</issue><spage>47</spage><epage>58</epage><pages>47-58</pages><issn>1062-7391</issn><eissn>1573-8736</eissn><abstract>Uniformity index
n
represents the range of fragment size distribution and it is applied to evaluate fragment size by Rosin and Rammler cumulative distribution function for a muck pile. The uniformity index
n
of fragment size distribution has been assessed by digital image analysis technique using Split-Desktop for several blasthole parameters and different zones of in-situ rock mass conditions in five mines having a wide range of blastabilty index (BI). Rosin and Rammler equation has been determined by a new procedure using a software entitled Pixler to delineate images the same as manual method for achieving a proper fragment size distribution by Split-Desktop. The obtained values of n had significant differences with estimated n by the former equations. Relations between n and several blasthole parameters, BI and mean fragment size
X
50
of the results and their various combinations have been analyzed. Finally, a new empirical model having a good correlation has been developed to predict
n
value for using 25 ms electric delay detonators.</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><doi>10.1134/S1062739120016478</doi><tpages>12</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1062-7391 |
| ispartof | Journal of mining science, 2020-01, Vol.56 (1), p.47-58 |
| issn | 1062-7391 1573-8736 |
| language | eng |
| recordid | cdi_proquest_journals_2417799734 |
| source | SpringerLink |
| subjects | Analysis Detonators Digital imaging Distribution (Probability theory) Distribution functions Earth and Environmental Science Earth Sciences Empirical analysis Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Image analysis Image processing Mathematical models Mineral Resources Parameters Rock Failure Rosin Size distribution |
| title | Development of a New Model to Predict Uniformity Index of Fragment Size Distribution Based on the Blasthole Parameters and Blastability Index |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T11%3A07%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Development%20of%20a%20New%20Model%20to%20Predict%20Uniformity%20Index%20of%20Fragment%20Size%20Distribution%20Based%20on%20the%20Blasthole%20Parameters%20and%20Blastability%20Index&rft.jtitle=Journal%20of%20mining%20science&rft.au=Nourian,%20A.&rft.date=2020-01-01&rft.volume=56&rft.issue=1&rft.spage=47&rft.epage=58&rft.pages=47-58&rft.issn=1062-7391&rft.eissn=1573-8736&rft_id=info:doi/10.1134/S1062739120016478&rft_dat=%3Cgale_proqu%3EA630993416%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2417799734&rft_id=info:pmid/&rft_galeid=A630993416&rfr_iscdi=true |