Optimal mesh design methodology considering geometric parameters for rock fragmentation in open-pit mining in the Southern Andes of Peru

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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...

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Detalles Bibliográficos
Autores: Zamora-Paredes, V., Arauzo-Gallardo, L., Raymundo-Ibanez, C., Perez, Moises
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
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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
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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
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
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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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