Sensitivity analysis of nickel haul road embankment slopes using the coefficient of variation approach

Singgih Saptono¹, Danu Mirza Rezky¹

¹Universitas Pembangunan Nasional “Veteran” Yogyakarta, Yogyakarta, Indonesia

Min. miner. depos. 2022, 16(3):48-53

https://doi.org/10.33271/mining16.03.048

Full text (PDF)

      ABSTRACT

      Purpose. The behavior of slope instability is influenced by many factors, both internal, such as the physical-mechanical properties of materials, and external, such as rain and seismic activity. Sensitivity analysis is used to determine the parameters that have the greatest impact on the level of slope stability.

      Methods. Sensitivity analysis of embankment slopes uses the coefficient of variation (CV) approach with input parameters namely cohesion and internal friction angle.

      Findings. The results of the study confirm that the internal friction angle is the most influential parameter on the embankment slope stability. The evidence is that at the highest percentage of CV, there is the highest probability of avalanches, based on these parameters.

      Originality. In this research, the coefficient of variation method is used to determine which parameters have heterogeneous data distribution and the greatest probability of failure, as well as to test mechanical sensitivity with the concept of changing the percentage of parameters to a safety factor value to validate calculations using the coefficient of variation approach.

      Practical implications. The sensitivity analysis results are not only limited to values, since the more important is finding out the cause of the influence of these parameters according to field conditions. The reason why the internal friction angle is the most sensitive parameter is the grain size approach, when the limestone mixture in the field has coarse and large grain sizes. Therefore, the surface tends to form rough waves and causes the relatively large grained rocks to have large internal friction angles.

      Keywords: sensitivity analysis, coefficient of variation, probability of failure, slope stability, angle of internal friction, cohesion

      REFERENCES

1. Nikolay, K., & dan Lena, M. (2018). Geotechnical consideration of the cut and fill slope problems related to the Struma Motorway Construction, XIV Danube. European Conference on Geotechnical Engineering.
2. Read, J., & Stacey, P. (2009). Guidelines for open pit slope design. Clayton, Australia: CSIRO Publishing.https://doi.org/10.1071/9780643101104
3. Peterson, J.L. (1999). Probability analysis of slope stability. Thesis. Morgantown, United States: West Virginia University, 100 p.
4. Sekhavatian, A., & Choobbasti, A.J. (2018). Comparison of point estimate and Monte Carlo probabilistic method in stability analysis of a deep excavation. International Journal of Geo-Engineering, (9), 20.https://doi.org/10.1186/s40703-018-0089-8
5. Azizi, M.A., & Handayani, Rr.H.E. (2011). Karakterisasi parameter masukan untuk analisis kestabilan lereng tunggal (studi kasus di PT. Tambang batubara bukit asam TBK, Tanjung enim, sumatera selatan. Prosiding Seminar Nasional AvoER Ke-3.
6. Surjandari, N.S., Riyadinata, F.D., & Purwana, Y.M. (2018). Sensitivity analysis of soil parameters on slope stability using simplified Bishop method (case study in Grobogan, Central Java, Indonesia). Journal of Physics: Conference Series, (1376), 012012.https://doi.org/10.1088/1742-6596/1376/1/012012
7. Agam, M.W., Hasim, M.H.M., Murad, M.I., & Zabidi, H. (2016). Slope sensitivity analysis using Spencer’s method in comparison with general limit equilibrium method. Procedia Chemistry, (19), 651-658.https://doi.org/10.1016/j.proche.2016.03.066
8. Nie, M., Mao, X., & Wang, Y. (2018). The influence of soil parameters on the stability of loose slope. Proceedings of the 2018 3^rd International Conference on Advances in Materials, Mechatronics and Civil Engineering, (162), 43.https://doi.org/10.2991/icammce-18.2018.43
9. Ruan, J.K., & Zhu, W. (2018). Sensitivity analysis of influencing factors of building slope stability based on orthogonal design and finite element calculation. Proceedings of the 3^rd International Conference on Advances in Energy and Environment Research, (53), 03076. https://doi.org/10.1051/e3sconf/20185303076
10. Christian, J.T., & Baecher, G.B. (2002). The point-estimate method with large numbers of variables. International Journal for Numerical and Analytical Methods in Geomechanics, 26(15), 1515-1529. https://doi.org/10.1002/nag.256
11. Harinaldi, I. (2005). Prinsip-prinsip Statistik untuk Teknik dan Sains. Jakarta, Indonesia: Penerbit Erlangga.
12. Wentworth, C.K. (1922). A scale of grade and class terms for clastic sediments. The Journal of Geology, 30(5), 377-392.https://doi.org/10.1086/622910
13. Bandis, S., Lumsden, A.C., & Barton, N.R. (1981). Experimental studies of scale effects on the shear behaviour of rock joints. International Journal of Rock Mechanics and Mining Sciences; Geomechanics Abstracts, 18(1), 1-21.https://doi.org/10.1016/0148-9062(81)90262-x
14. Kalantari, B., & Nazeri, F. (2016). Effect of materials quality on stability of embankment dam. Electronic Journal of Geotechnical Engineering, (21), 15.