Rock Mass Classification and Probability of Failure in Determining Slope Stability

Nurul Fitriah Rahmah

Abstract


Abstract. Research on slopes is always experiencing development along with development of science and many cases of slope instabilty in the field. Rock slope found in most of the roads, often experience instability caused by rock mass conditions and external factors such as water and seismic activity. The purpose of this research is to analyze slope stability using two approaches, that is rock mass characterization and numerical modeling to calculate safety factor and probability of failure. The result of this research is slope 1 more stable than slope 2 with each value 6.03 and 2.02 with each probability of failure 0% and 0.48%. Result of numerical modeling is directly proportional to the rock mass characterization using RMR and GSI which classifies the rock mass on slope 1 in good condition, and rock mass on slope 2 in fair condition. The causes of the differences on the level of stability on the two slopes will be discussed further in this paper.


Full Text:

PDF

References


A. Duran and K. Douglas, “Experience With Empirical Rock Slope Design”, In: proceedings of ISRM International Symposium, Melbourne, Australia, 2000.

A.Sekhavatian, dan A.J. Choobbasti “Comparison of Point Estimate and Monte Carlo Probabilistic Method in Stablity Analysis of a Deep Excavation”, International Journal of Geo-Engineering, 2018.

B. Surono, Toha, and I. Sudarno, Peta Geologi Lembar Surakarta – Giritontro. Bandung: Geological Research and Development Center, 1992.

D.C. Wyllie and C.W. Mah, Rock Slope Engineering: civil and mining 4th edition. London: Spoon Press, 2004.

D.M.Rezky, A.G. Irwan, S.Saptono, “ The effect of Rock Mass Characterization on Slope Stability Assesment”, in 3rd International Conference on Earth Science, Mineral, and Energy, (030017), 2021.

E. Hoek, dan E.T. Brown, The Hoek-Brown Failure Criterion and GSI – 2018 Edition. Journal of Rock Mechanics and Geotechnical Engineering, pp 1-19, 2018.

G.Hussain, Y. Singh, G.M. Bhat, S. Sharma, R. Sangra, dan A. Singh, “Geotechnical Characterisation and Finite Element Analysis of Two Landslide Along the National Highway 1-A (Ladakh Region, Jammu and Khasmir”, Journal Geological Society of India, Vol. 94, pp 93-99, 2019.

H. Basahel and H. Mitri, “Application of rock mass classification systems to rock slope stability assessment: A case study,” Journal of Rock Mechanics and Geotechnical Engineering, vol. 9, pp. 993-1009, July 2017.

L. Pantelidis, “Rock Slope Stability Assessment Through Rock Mass Classification Systems,” International Journal of Rock Mechanics and Mining Sciences, vol.46, pp. 315-325, 2009.

M.A. Rai, S. Kramadibrata, and R.K. Wattimena, Mekanika Batuan, Bandung:Geomechanics Laboratory and Mining Equipment ITB, 2011.

S.D. Priest and J.A. Hudson, “Discontinuity Spacings in Rock,” International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, vol 13(1), pp. 135–148, 1976.

S. Saptono, S. Kramadibrata, B. Sulistianto, and M. Irsyam, “Studi Jarak Kekar Berdasarkan Pengukuran Singkapan Massa Batuan Sedimen di Lokasi Tambang Batubara,” in Prosiding Simposium dan Seminar Geomekanika, vol 1, 2012, pp. 18–28.

Z.T. Bieniawski, Engineering rock mass classifications: a complete manual for engineers and geologists in mining, civil, and petroleum engineering. John Wiley & Sons, 1989.




DOI: https://doi.org/10.31315/mtj.v1i1.6807

DOI (PDF): https://doi.org/10.31315/mtj.v1i1.6807.g4400

Refbacks

  • There are currently no refbacks.