Optimal mesh design methodology considering geometric parameters for rock fragmentation in open-pit mining in the Southern Andes of Peru
Descripción del Articulo
Blasting is one of the most important stages in the productive process of a mine due to its direct impact on rock fragmentation, which determines the degree of productivity of operations and the extraction costs generated. In this scenario, an optimized methodology is presented for designing blastin...
Autores: | , , , |
---|---|
Formato: | artículo |
Fecha de Publicación: | 2020 |
Institución: | Universidad Peruana de Ciencias Aplicadas |
Repositorio: | UPC-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorioacademico.upc.edu.pe:10757/651802 |
Enlace del recurso: | http://hdl.handle.net/10757/651802 |
Nivel de acceso: | acceso abierto |
Materia: | Optimal mesh Design methodology Geometric parameters Rock fragmentation Southern Andes of Peru |
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dc.title.en_US.fl_str_mv |
Optimal mesh design methodology considering geometric parameters for rock fragmentation in open-pit mining in the Southern Andes of Peru |
title |
Optimal mesh design methodology considering geometric parameters for rock fragmentation in open-pit mining in the Southern Andes of Peru |
spellingShingle |
Optimal mesh design methodology considering geometric parameters for rock fragmentation in open-pit mining in the Southern Andes of Peru Zamora-Paredes, V. Optimal mesh Design methodology Geometric parameters Rock fragmentation Southern Andes of Peru |
title_short |
Optimal mesh design methodology considering geometric parameters for rock fragmentation in open-pit mining in the Southern Andes of Peru |
title_full |
Optimal mesh design methodology considering geometric parameters for rock fragmentation in open-pit mining in the Southern Andes of Peru |
title_fullStr |
Optimal mesh design methodology considering geometric parameters for rock fragmentation in open-pit mining in the Southern Andes of Peru |
title_full_unstemmed |
Optimal mesh design methodology considering geometric parameters for rock fragmentation in open-pit mining in the Southern Andes of Peru |
title_sort |
Optimal mesh design methodology considering geometric parameters for rock fragmentation in open-pit mining in the Southern Andes of Peru |
dc.creator.none.fl_str_mv |
Zamora-Paredes, V. |
author |
Zamora-Paredes, V. |
author_facet |
Zamora-Paredes, V. Arauzo-Gallardo, L. Raymundo-Ibanez, C. Perez, Moises |
author_role |
author |
author2 |
Arauzo-Gallardo, L. Raymundo-Ibanez, C. Perez, Moises |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Zamora-Paredes, V. Arauzo-Gallardo, L. Raymundo-Ibanez, C. Perez, Moises |
dc.subject.en_US.fl_str_mv |
Optimal mesh Design methodology Geometric parameters Rock fragmentation Southern Andes of Peru |
topic |
Optimal mesh Design methodology Geometric parameters Rock fragmentation Southern Andes of Peru |
description |
Blasting is one of the most important stages in the productive process of a mine due to its direct impact on rock fragmentation, which determines the degree of productivity of operations and the extraction costs generated. In this scenario, an optimized methodology is presented for designing blasting meshes by using mathematical models that help calculate the geometric parameters of a blasting mesh, such as burden, considering the variables of the rock mass and the type of explosive to measure its impact on rock fragmentation and loading productivity (tons/hour). The main advantage of this method is the reliability of the design, which takes into account a greater number of variables that influence fragmentation and uses the principle of distribution and amount of energy in an optimal way. The results obtained in the case of application show that a change in design (2.7 x 2.7 square mesh to 2.2 x 2.5 triangular mesh) reduces P80 by 65%, from 17 to 6 inches, approximately. Additionally, the results show that greater operational efficiency was achieved by increasing excavator productivity by approximately 15.6%. |
publishDate |
2020 |
dc.date.accessioned.none.fl_str_mv |
2020-04-27T17:54:39Z |
dc.date.available.none.fl_str_mv |
2020-04-27T17:54:39Z |
dc.date.issued.fl_str_mv |
2020-02-28 |
dc.type.en_US.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
dc.identifier.issn.none.fl_str_mv |
17578981 |
dc.identifier.doi.none.fl_str_mv |
10.1088/1757-899X/758/1/012015 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10757/651802 |
dc.identifier.journal.en_US.fl_str_mv |
IOP Conference Series: Materials Science and Engineering |
dc.identifier.eid.none.fl_str_mv |
2-s2.0-85082118595 |
dc.identifier.scopusid.none.fl_str_mv |
SCOPUS_ID:85082118595 |
dc.identifier.isni.none.fl_str_mv |
0000 0001 2196 144X |
identifier_str_mv |
17578981 10.1088/1757-899X/758/1/012015 IOP Conference Series: Materials Science and Engineering 2-s2.0-85082118595 SCOPUS_ID:85082118595 0000 0001 2196 144X |
url |
http://hdl.handle.net/10757/651802 |
dc.language.iso.en_US.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.en_US.fl_str_mv |
IOP Conference Series: Materials Science and Engineering |
dc.relation.ispartofseries.en_US.fl_str_mv |
1 |
dc.relation.url.en_US.fl_str_mv |
https://iopscience.iop.org/article/10.1088/1757-899X/758/1/012015 |
dc.relation.volume.none.fl_str_mv |
758 |
dc.rights.en_US.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.*.fl_str_mv |
Attribution-NonCommercial-ShareAlike 4.0 International |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ |
dc.format.en_US.fl_str_mv |
application/pdf |
dc.publisher.en_US.fl_str_mv |
Institute of Physics Publishing |
dc.source.es_PE.fl_str_mv |
Universidad Peruana de Ciencias Aplicadas (UPC) Repositorio Académico - UPC |
dc.source.none.fl_str_mv |
reponame:UPC-Institucional instname:Universidad Peruana de Ciencias Aplicadas instacron:UPC |
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Universidad Peruana de Ciencias Aplicadas |
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In this scenario, an optimized methodology is presented for designing blasting meshes by using mathematical models that help calculate the geometric parameters of a blasting mesh, such as burden, considering the variables of the rock mass and the type of explosive to measure its impact on rock fragmentation and loading productivity (tons/hour). The main advantage of this method is the reliability of the design, which takes into account a greater number of variables that influence fragmentation and uses the principle of distribution and amount of energy in an optimal way. The results obtained in the case of application show that a change in design (2.7 x 2.7 square mesh to 2.2 x 2.5 triangular mesh) reduces P80 by 65%, from 17 to 6 inches, approximately. 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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).