8th World Conference on Applied Sciences, Engineering & Management 26-28 Sep 2019, SDIT-Mangalore, India 05-07 Dec 2019, Kyushu University, Japan Slope Angle Optimisation for Songwe Open Pit Mine DYSON N MOSES 1,2, HİDEKİ SHİMADA 1 ,TAKASHİ SASAOKA 1, AKİHİRO HAMANAKA 1, SUGENG WAHYUDİ 1 1 Department of Earth Resources Engineering, Faculty of Engineering, Kyushu University, Fukuoka 819-0395, Japan 2 Department of Geography and Earth Sciences, Faculty of Science, University of Malawi, P.O Box 280, Zomba, Malawi Email: dysonmoses@gmail.com Abstract: Open pit mining is generally regarded as a cost-effective mining method permitting a high grade of mechanisation and large production volumes and where feasible extract mineral deposits of a very low grade which could not be mined economically using underground methods. However, slope instability is a major challenge to open pit mining operations. As open pit mines are being planned to greater depth, slope angles need to be carefully planned and designed with respect to the ultimate height of the pit to ensure economical and safe mining operations. In this study, finite element (FE) code, in Phase2, is used to numerically model and analyse the stability of the Songwe mine at different angles. The stability assessment is based on shear strength reduction (SSR) analysis to determine the safety factor. The results of finite element analysis (FEA) show that overall slope angle of 410 with safety factor of 1.27 is optimal for mining operations at the mine with a minimal risk of slope material displacement in the event of failure. Keywords: Carbonatite, Finite element code, Slope angle optimisation, Slope stability, Songwe Introduction: The carbonatite complex hosting rare earth elements (REE) at Songwe Hill in Malawi prominently extrudes to the surface of the earth. The massive style of mineralisation at this conical hill will inevitably be extracted using surface mining method. Open pit mining is generally touted as a cost-effective mining method allowing a high grade of mechanisation and large production volumes and where feasible extract mineral deposits of a very low grade which could not be mined economically using underground methods [1] However, slope instability is a major challenge to open pit mining operations. The instability leading to failure of slopes are triggered as a result of downward movements of material due to gravity as shear stresses exceed the shear strength. This is resultant to perturbations on the delicate balance of natural or manmade slopes induced by anthropogenic activities and/or nature. Zaruba & Mencl (1982) stress that it is of primary significance to recognise the conditions that cause slopes to become unstable and the factors that trigger the movement in order to solve slope stability problems [2]. The rate of displacement of the rock mass surrounding the open pit renders the recovery of ore uneconomical if the pit was being actively mined [1]. But failure mechanisms in hard rock slopes, which involve high stress regime, are much more complex since progressive failure in hard rock slopes involves initiation and progression of failure along existing weakness planes, and even in intact rock. As open pit mines are being planned to greater depth, slope angles need to be carefully planned and designed with respect to the ultimate height of the pit to ensure economical and safe mining operations. Thus, this contribution is aimed at assessing pit slope stability on carbonatite complex under high stress conditions for optimal design of overall slope angle. Location and Geology: Songwe hill is located within the Chilwa Alkaline Province (CAP) in Phalombe district southern Malawi (Figure 1). Surface mapping and drill cores from the three phases show that the principal geological units of the carbonatite complex include: carbonatite, fenite and fenite breccia. Minor geological units consist of veins of apatite and fluorite-rick rock and phonolite. These alkaline bodies intrude into the basement granulite and gneiss. Broom-Fendley presented new petrographic and geochemical observations following thin sections [3]. Carbonatite The carbonatite, which is the ore hosting rock, is best exposed on the north and north-eastern slopes with relatively smaller extent along the north western slope. There are essentially three REE mineralised carbonatites namely: coarse grained calcite carbonatite (soviet); fine grained carbonatite (alvikite); and Fe-rich ferroan calcite carbonatite. Mkango resources, the company developing the deposit, adopted the shorthand C1, C2 and C3 respectively to distinguish the different types of carbonatites. Fenite Fenites at Songwe form an aureole around the carbonatite intrusion. Large blocks of fenite show WCSEM 2019XXX Copyright © 2019 BASHA RESEARCH CENTRE. All rights reserved DYSON N MOSES evidence of being in situ and interpreted as fractured blocks from the margins, or the roof of the carbonatite. It is postulated that the carbonatite intrusion never reached the surface since the fenite is continuous with only rare carbonatite veinlets [3]. In terms of the texture, the fenites display a coarse-grained equigranular igneous texture, strongly suggesting an igneous protolith. The fenitisation at Songwe is predominantly potassic with a composition of orthoclase and minor aegirine. Figure 1: Location and geology of study area [3] Methodology: The study is based on FE numerical modelling. Phase2 was used owing on its capability to compute displacement and/or deformation behaviour in continuum. The modelling was based on shear strength reduction (SSR) method to determine potential instability (Figure 2). Shear Strength Reduction Method The SSR technique of FE slope stability analysis involves a systematic iterative search for a strength reduction factor (SRF) value that stretches the slope to limits of failure. Lately, the SSR method based on the FEM is widely used to analyse slope stability. The trend is attributed to the apparent advantages of the FEM over the popular traditional LEM which uses factor of safety (FOS) in the analysis. As highlighted by many developers and authors [4-6] the key advantages of SSR are: 1. No assumptions are made in advance about the shape or location of the failure surface. Thus, failure occurs “naturally” through the zones within the soil or rock mass in which the shear strength is unable to resist the shear stress leading to non-convergence 2. It accounts for various material stress-strain behaviours 3. Provides information on deformation at working levels and is capable to monitor propagation of failure up to and including overall shear failure. 4. Provides information on deformations, bending moments and axial loads of support elements at failure For these facts, SSR is regarded as highly reliable and robust in performing under wide range of conditions. The SSR technique applies the constitutive law of Mohr-Coulomb strength for slope materials. The Mohr-Coulomb strength envelope is most widely applied as a failure criterion in geotechnical engineering. A unique feature of this linear failure model is the fact that it can be simply and explicitly expressed in both principal stress and shear-normal stress. In SSR approach, the Mohr-Coulomb material is factored or reduced to determine the safety factor as presented in equation (1). 𝜏 𝑐 𝑡𝑎𝑛𝜑 = +𝜎 … … … … … … … … (1) 𝐹 𝐹 𝐹 Where: 𝜏 is shear stress; C is cohesion; 𝜑 is internal friction angle; 𝜎 is normal stress and F is strength reduction factor or slope safety factor The equation can be re-written as equation (2). 𝜏 = 𝑐 ′ + 𝜎 tan 𝜑′ … … … … . . (2) 𝐹 𝑐 tan 𝜑 Where 𝑐 ′ = and 𝜑 ′ = 𝑎𝑟𝑐𝑡𝑎𝑛 ( ) are 𝐹 𝐹 factored Mohr-Coulomb shear strength parameters. Figure 2: Research method and design Note: UCS → Uniaxial compressive strength, TBS → Brazilian tensile strength, TCS → Triaxial compressive strength. Critical Shear Reduction Factor The process of systematically finding the critical shear reduction factor (CSRF) or critical safety factor (F) that stretches a previously stable slope (F≥1.0) to the Proceedings of the 8th World Conference on Applied Sciences, Engineering and Management 26-28 September 2019, SDIT-Mangalore, India and 05-07 December 2019, Kyushu University, Japan ISBN 13: 978-81-930222-3-8, pp xxx-xxx Slope Angle Optimisation for Songwe Open Pit Mine verge of failure was done through iterative steps until the model fails to converge. Numerical Modelling: To evaluate the optimal angle of stability for the Songwe mine design, a number of numerical models were run in Phase2. The model design is presented in Figure 3. The continuum approach was adopted to understand the behaviour of the rock pit walls using FE code. Table 1 and 2 presents the mechanical properties of the rock materials and model calibration respectively. Figure 3: Numerical model dimensions the meshing type applied is graded mesh determined at 350 nodes of meshing intensity with a gradation factor of 0.1. The meshing quality was adopted having demonstrated a reliable stability of solutions. Results and Discussion: To evaluate the stability condition of the pit design, a series of models were constructed at different angles and observe the safety factor. The testing commenced with the steeper slope angle of 500 and then ‘the change slope angle editing tool’ was used to optimise the open pit design to make the slope as steep as possible while maintaining acceptable safety factor. At the ultimated proposed final mine depth of -350 m, the slope angle 500 with a steep bench angle 780 yields the CSRF of 1.04 (Figure 4) which indicates that the slope is close to failure and the design is thus unacceptable since safe operations could be compromised. By changing the angle to less steeper slope the safety factor improved to up to 1.31 at 40 0 with a steep bench angle of 600 (Figures 5-7). In a hard rock condition with a rock mass rating (RMR) of 71, a CSRF of ≧1.25 could be considered safe for mining operations [9-13]. By plotting the slope angle versus CSRF, the optimum slope angle for the mine design is found to be 410 with a CSRF of 1.27 (Figure 8) Table 1: Model mechanical properties γ [g/m3] Carbonatite 2.78 Fenite 2.70 Rock type E [GPa] 45.30 44.40 UCS σt φ C V [MPa] [MPa] [deg] [MPa] 83.2 0.28 8.60 35 0.18 118.6 0.29 10.40 36 0.18 Table 2: Parametric settings Parameter Setting(s) Number of iterations 500 Tolerance of stress analysis 0.005 Mesh type and density 6 nodded triangle, 350 nodes Boundary conditions Restrain XY for bottom boundary Free XY for top boundary Restrain X for y-axis boundaries Model Calibration In order to ensure that results realised from the numerical modelling are realistic and reliable, calibration of the FE models was undertaken. The calibration was based on the sensitivity test carried out as a pre-validation process of the FEA. The tests established key parametric settings that proved to affect the FEA results namely; tolerance of stress analysis and mesh quality. The tolerance value defines the point at which the finite element solution is considered to have converged [7]. After a sensitivity test, it was noted that at 0.005 the solutions are less sensitive, giving accurate and reliable results while optimizing computation time. Mesh density can also highly influence the accuracy of the results if not properly set up [7, 8]. In this study, Figure 4: Overall slope stability at 500 with steep bench angle 780 Figure 5: Overall slope stability at 450 with steep bench angle 690 Proceedings of the 8th World Conference on Applied Sciences, Engineering and Management 26-28 September 2019, SDIT-Mangalore, India and 05-07 December 2019, Kyushu University, Japan ISBN 13: 978-81-930222-3-8, pp xxx-xxx DYSON N MOSES optimized slope angle of 410, material movement is simulated to be confined within 1.10 m. Figure 6: Overall slope stability at 420 with steep bench angle 640 Figure 9: Material displacement risk on the slope face at 500 Figure 7: Overall slope stability at 400 with steep bench angle 600 Figure 10: Material displacement risk on the slope face at 450 2,5 CSRF 2 1,5 1 Excavation stage 1 Excavation stage 2 Excavation stage 3 0,5 0 38 39 40 41 42 43 44 45 46 47 48 49 50 51 Slope Angle (deg) Figure 8: Slope stability for excavation stages 1, 2 and 3 Deformation Behavior Excavation during mining operations create an imbalance of forces especially on the cut face. The deformation behavior on a cut rock slope in an openpit mine may be due to inelastic as well as elastic deformation due to excavation. The displacement risk evaluation on the pit slope face was carried out under gravitational loading. The outcome shows high risk displacement contours at 500 which gradually reduces to minimal risk at 400 (Figures 9-12). The material displacement risk on the pit slopes echo the results of the stability condition with respect to CSRF. Furthermore, in the event of slope failure, the loss of cohesion is more pronounced at steeper angle leading to a longer sliding and/or falling distance (Figure13). Slope face material sliding distance would increase from 1.13 m at 400 to 2.02 at 500. At the proposed Figure 11: Material displacement risk on the slope face at 420 Figure 12: Material displacement risk on the slope face at 400 Proceedings of the 8th World Conference on Applied Sciences, Engineering and Management 26-28 September 2019, SDIT-Mangalore, India and 05-07 December 2019, Kyushu University, Japan ISBN 13: 978-81-930222-3-8, pp xxx-xxx Slope Angle Optimisation for Songwe Open Pit Mine Figure 13: Extent of displacement at slope angles 400, 420, 450 and 500 Conclusion: Slope stability conditions of open pit mine depends principally on the stress conditions in the pit slopes, the geological structures, the rock mass strength and the pit geometry. In this study, attention was accorded to pit geometry with respect to slope angle. The results of FEA for Songwe REE designed mine shows that an overall slope angle (OSA) of 400 is the most stable state. However, based on safety factor criterion, the slope angle can be optimally steepened enough to 410 while maintaining acceptable safety factor. On displacement, when shear stress exceeds shear strength, steeper slope angle of 500 demonstrated unacceptable high risk of slope material displacement than the gentle slopes at 410. Additionally, steeper angles would lead to a longer sliding and/or falling distance of simulated failed material than gentle slopes after loss of cohesion. Mechanics and Foundation Engineering, pp. 5970 [7] Rockscience, "rocscience.com," 04 09 2019. [O nline]. Available: https://www.rocscience.com. [8] Ghavidel, A., Mousavi, R. S and Rashki, M., (2017) "The Effect of FEM Mesh Density on the Failure Probability Analysis of Structures," KSCE Journal of Civil Engineering, pp. 2371 2383 [9] Stacey, T. R., (2001) "Best practice rock engineering handbook for “other” mines," Safety in Mines Research Advisory Committee, Braamfontein, South Africa [10] Read, J and Stacey, P., (2009) “Guidelines for Open Pit Slope Design” Australia: CSIRO Publishing [11] Contreras, L. F., (2015) "An economic risk evaluation approach for pit slope optimization," The Journal of The Southern African Institute of Mining and Metallurgy, pp. 607-622 [12] Golestanifar, M., Ahangari, K., Goshtasbi, K., Dehkharghani, A. A and Terbrugge, P., (2018) "Governing risk elements through open pit slope optimization," The Southern African Institute of Mining and Metallurgy, pp. 47-55 [13] Adams, B. M., (2015) "Slope Stability Acceptance Criteria for Opencast Mine Design," Adams Geotechnical Limited, New Zealand References: [1] Sjoberg, J., (1996) "Large Scale Slope Stability in Open Pit Mining," Division of Rock Mechanics; Lulea University of Technology, Sweden [2] Zaruba, Q and Mencl, V., (1982) “Landlides and their Control” New York: Elsevier Scientific Publishing Company [3] Broom-Fendley, S., Brady, A. E., Horstwood, M. S., Woolley, A. R., Mtegha, J., Wall, F., Dawes, W. and Gunn, G. (2017) "Geology, geoche mistry and geoch ronology of the Songwe Hill carbonatite, Malawi," Journal of African Earth Sciences, pp. 11-23 [4] Hammah, R. E., Curran, J. H., Yacoub T. and B. Corkum, (2004) "Stability Analysis of Rock Slopes using the Finite Element Method," in EUROCK 2004 & 53rd Geomechanics Colloquium. Schuber, Canada [5] Diederichs, M. S., Lato, M., Hammah, R. and Quinn, P., (2007) "Shear Strength Reduction (SSR) approach for slope stability analyses," in United Arab Emirates University, London [6] Matsui, T. and San, K.-C. (1992) "Finite Element Slope Stability Analysis by Shear Strength Reduction Technique," Japanese Society of Soil Proceedings of the 8th World Conference on Applied Sciences, Engineering and Management 26-28 September 2019, SDIT-Mangalore, India and 05-07 December 2019, Kyushu University, Japan ISBN 13: 978-81-930222-3-8, pp xxx-xxx