نمایش مختصر رکورد

dc.contributor.authorBakhshandeh Amnieh, H.en_US
dc.contributor.authorHakimiyan Bidgoli, M.en_US
dc.contributor.authorMokhtari, H.en_US
dc.contributor.authorAghajani Bazzazi, A.en_US
dc.date.accessioned1399-07-09T03:33:03Zfa_IR
dc.date.accessioned2020-09-30T03:33:03Z
dc.date.available1399-07-09T03:33:03Zfa_IR
dc.date.available2020-09-30T03:33:03Z
dc.date.issued2019-10-01en_US
dc.date.issued1398-07-09fa_IR
dc.date.submitted2019-02-17en_US
dc.date.submitted1397-11-28fa_IR
dc.identifier.citationBakhshandeh Amnieh, H., Hakimiyan Bidgoli, M., Mokhtari, H., Aghajani Bazzazi, A.. (2019). Application of simulated annealing for optimization of blasting costs due to air overpressure constraints in open-pit mines. Journal of Mining and Environment, 10(4), 903-916. doi: 10.22044/jme.2019.8084.1675en_US
dc.identifier.issn2251-8592
dc.identifier.issn2251-8606
dc.identifier.urihttps://dx.doi.org/10.22044/jme.2019.8084.1675
dc.identifier.urihttp://jme.shahroodut.ac.ir/article_1514.html
dc.identifier.urihttps://iranjournals.nlai.ir/handle/123456789/243001
dc.description.abstractEstimating the costs of blasting operations is an important parameter in open-pit mining. Blasting and rock fragmentation depend on two groups of variables. The first group consists of mass properties, which are uncontrollable, and the second one is the drill-and-blast design parameters, which can be controlled and optimized. The design parameters include burden, spacing, hole length, hole diameter, sub-drilling, charge weight, charge length, stemming length, and charge density. Blasting costs vary depending on the size of these parameters. Moreover, blasting brings about some undesirable results such as air overpressure, fly rock, back-break, and ground vibration. This paper proposes a mathematical model for estimating the costs of blasting operations in the Baghak gypsum mine. The cost of blasting operations in the objective function is divided into three parts: drilling costs, costs of blasting system, and costs of blasting labours. The decision variables used to minimize the costs include burden, spacing, hole diameter, stemming length, charge density, and charge weight. Constraints of the model include the boundary and operational limitations. Air overpressure in the mine is also anticipated as one of the model constraints. The non-linear model obtained with consideration of constraints is optimized by simulated annealing (SA). After optimizing the model by SA, the best values for the decision variables are determined. The value obtained for the cost was obtained to be equal to 2259 $ per 7700 tons for the desired block, which is less than the blasting costs in the Baghak gypsum mine.en_US
dc.format.extent1011
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoen_US
dc.publisherShahrood University of Technologyen_US
dc.relation.ispartofJournal of Mining and Environmenten_US
dc.relation.isversionofhttps://dx.doi.org/10.22044/jme.2019.8084.1675
dc.subjectcosten_US
dc.subjectblasting operationen_US
dc.subjectair overpressureen_US
dc.subjectOptimizationen_US
dc.subjectSimulated annealingen_US
dc.subjectVentilation & HSEen_US
dc.titleApplication of simulated annealing for optimization of blasting costs due to air overpressure constraints in open-pit minesen_US
dc.typeTexten_US
dc.typeOriginal Research Paperen_US
dc.contributor.departmentSchool of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iranen_US
dc.contributor.departmentDepartment of Mining Engineering, University of Kashan, Kashan, Iranen_US
dc.contributor.departmentDepartment of Industrial Engineering, University of Kashan, Kashan, Iranen_US
dc.contributor.departmentDepartment of Mining Engineering, University of Kashan, Kashan, Iranen_US
dc.citation.volume10
dc.citation.issue4
dc.citation.spage903
dc.citation.epage916


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