Methodology for a dump design optimization in large-scale open pit mines

A Genetic Algorithm (GA) with nested zooming strategy is proposed for the determination of the optimal open pit mine design.Different genetic procedures are applied to increase robustness, namely two typologies of admissible mutations for the elite sub-population subjected to zooming and mutation and reproduction for the remaining individuals. In order to further improve convergence rate, a user-defined population percentage, depending on individuals fitness, is replaced with new phenotypes, enforcing chromosomic renewal.Several comparisons with (traditionally used) dynamic programming approaches are provided both for 2D and 3D open pit mines. Both small and large scale mines are analyzed, to benchmark the code in presence of several variables.Results show that the procedure proposed requires a very limited computational effort, both for challenging problems with several variables and when a micro-GA (populations with few individuals) is adopted for small scale problems.

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Long-Term Slope Stability of Abandoned Mine Lake—Numerical Modelling and Risk Assessment

Materials Proceedings ◽

10.3390/materproc2021005088 ◽

2021 ◽

Vol 5 (1) ◽

pp. 88

Author(s):

Vincent Renaud ◽

Marwan Al Heib ◽

Roxane Muller ◽

Jan Burda

Keyword(s):

Numerical Model ◽

Slope Stability ◽

Large Scale ◽

Geometric Model ◽

Open Pit ◽

Lidar Data ◽

Open Pit Mines ◽

Long Term Stability ◽

Almost All

Almost all post exploitation open pit mines in the world are shaped as a final reservoir intended to be filled with water. In Europe, the creation of water lakes is the most common way of reclaiming post open pit mines. The safety and the security of mine lakes is one of the priorities of mine regions. One of the main hazards identified is the slope stability of lake banks. To develop a reliability methodology for assessing the long-term stability of flooded open pit mines, a large-scale numerical model of the lake was carried out and was applied on Lake Most, which is one of the largest mining lakes in Europe (Czech Republic). The large-scale numerical model was built, based on the site observations, large scale LiDAR data and geotechnical data. The results highlighted the reliability of the methodology to combine the geometric model with the geological model to create a large-scale numerical model, and to identify local and potentially instable zones.

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Methodology for a Dump Design Optimization in Large-Scale Open Pit Mines

10.20944/preprints201705.0045.v1 ◽

2017 ◽

Author(s):

Jorge Puell Ortiz

Keyword(s):

Large Scale ◽

Early Stage ◽

Mine Planning ◽

Open Pit ◽

Open Pit Mines ◽

Physical Constraints ◽

Critical Elements ◽

Mining Project ◽

Waste Rock Dump ◽

Mine Dump

Dump design and scheduling are critical elements to effective mine planning, especially if several of them are required in large-scale open pit mines. Infrastructure capital and transportation costs are considerable from an early stage in the mining project, and through the life-of-mine as these dumps gradually become immense structures. Delivered mining rates, as well as certain spatial and physical constraints, provide a set of parameters of mathematical and economic relationship that creates opportunities for modelling and thus facilitates the measuring and optimization of ultimate dump design by using programming and empirical techniques while achieving economic objectives. This paper presents a methodology to model and optimize the design of a mine dump by minimizing the total haulage costs. The proposed methodology consists on: (i) Formulation of a dump model based on a system of equations relying on multiple relevant parameters; (ii) Solves by minimizing the total cost using linear programming and determines a ‘preliminary’ dump design; (iii) Through a series of iterations, modifies the ‘preliminary’ footprint by projecting it to the topography and creates the ultimate dump design. Finally, an example application for a waste rock dump illustrates this methodology.

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Research on optimal takeoff positions of UAV integrated GNSS - RTK in producing large scale topological maps for open - pit mines

Journal of Mining and Earth Sciences ◽

10.46326/jmes.2020.61(5).06 ◽

2020 ◽

Vol 61 (5) ◽

pp. 54-63

Author(s):

Canh Van Le ◽

Cuong Xuan Cao ◽

Ha Thu Thi Le ◽

Keyword(s):

Large Scale ◽

Low Cost ◽

Open Pit ◽

Surface Model ◽

Open Pit Mines ◽

Topological Maps ◽

Accuracy Requirement ◽

Ground Control Points ◽

Uav Images ◽

A Site

Unmanned aerial vehicles (UAV) are widely used for establishing large scale topological maps. Recently, drones have been integrated with high-quality GNSS receivers which allows real time kinematic positioning (RTK), so are called UAV/RTK. This technology is beneficial to surveyors as they do not need to establish many ground control points in mapping such a complex terrain as open-pit mines. DJI Phantom 4 RTK (P4K) is a UAV/RTK which is of much interest due to its small size and low cost. For open-pit mines, the takeoff position of P4K needs to be seriously considered because of its influence on the accuracy of the digital surface model (DSM) and safety of survey flights. This article presents the method of determining the optimal takeoff positions for UAV in large scale mapping for open pit mines. To evaluate this method, a site of steep and rugged terrain with an area of 80 hectares at the Coc Sau coal mine was chosen as the study area. The results indicate that two optimal locations with altitudes of +50 m and +160 m could be used for taking off the P4K. The accuracy of DSM generated from UAV images using the optimal positions satisfied the accuracy requirement of large scale topological maps at the deepest area of the mine (the altitude of -60 m).

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