Methodology for a dump design optimization in large-scale open pit mines
Name:
23311916.2017.1387955.pdf
Size:
1.599Mb
Format:
PDF
Description:
Final Published Version
Author
Puell Ortiz, JorgeAffiliation
Univ Arizona, Dept Min & Geol EngnIssue Date
2017-10-05
Metadata
Show full item recordPublisher
TAYLOR & FRANCIS ASCitation
Methodology for a dump design optimization in large-scale open pit mines 2017, 4 (1) Cogent EngineeringJournal
Cogent EngineeringRights
© 2017 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Modern large-scale open pit mines move hundreds of thousands of tonnes of material daily, from the loading sources to the destination zones, whether these are massive mine dumps or, to a lesser extent, to the grinding mills. Mine dumps can be classified as leach or waste dumps, depending upon their economic viability to be processed in-place, a condition that has experienced great progress in the last decades and has reconfigured the open pit haulage network with an increase in the number of dumps. Therefore, new methods for dump design optimization are of the highest priority in mine planning management. This paper presents a methodology to model and optimize the design of a dump by minimizing the total haulage costs. The location and design of these dumps will be given mainly by the geological characteristics of the mineral, tonnage delivered, topographical conditions, infrastructure capital and transportation costs. Spatial and physical design possibilities, in addition, provide a set of parameters of mathematical and economic relationship that creates opportunities for modelling and thus facilitates the measurement and optimization of ultimate dump designs. The proposed methodology consists of: (1) Formulation of a dump model based on a system of equations relying on multiple relevant parameters; (2) Solves by minimizing the total cost using linear programming and determines a "preliminary" dump design; (3) Through a series of iterations, changes the "preliminary" footprint by projecting it to the topography and creates the ultimate dump design. Finally, an application for a waste rock dump illustrates this methodology.Note
Open access journal.ISSN
2331-1916Version
Final published versionAdditional Links
https://www.cogentoa.com/article/10.1080/23311916.2017.1387955ae974a485f413a2113503eed53cd6c53
10.1080/23311916.2017.1387955
Scopus Count
Collections
Except where otherwise noted, this item's license is described as © 2017 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.

