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Assessment of rock slope stability with the effects of weathering and excavation by comparing deterministic methods and slope stability probability classification (SSPC)

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Abstract

Cut slopes are prone to fail due to the disturbance on original geometry and strength. In addition, because of these disturbances and stress relief, natural apertures which increase the weathering effects widen in engineering time. Owing to these reasons, slope stability assessment has a prominent role on these road cuts. Generally, slope stabilities are assessed by deterministic approaches with a significant engineering judgment. Because of this reason the reputation of probabilistic approaches is increasing. In this study, 20 road cuts located in North West Black Sea region of Turkey were evaluated using slope stability probability classification (SSPC). Considering this probabilistic approach, rock strength parameters and failure mechanisms were determined. Furthermore, slope mass rating (SMR) classification was applied for each road cut in order to compare with the results obtained from SSPC. These overall results were then evaluated with the field observations considering rockslope deterioration assessment (RDA) and Falling Rock Hazard Index (FRHI) for the disturbed/weathered zones, and failure mechanisms. According to these, SSPC is found to be more accurate for surficial degradations (raveling and fall) using samples taken from the disturbed/weathered zones rather than using relatively fresh samples beyond the disturbed zone. Moreover, despite strength differences between weathered and relatively fresh zones, SMR classification is identified to reveal the same stable probabilities. It is found that SSPC shows more detailed probabilistic results than SMR. Lastly, rockfall and raveling mechanisms determined by RDA and rockfall risk by FRHI were found to be coherent with SSPC and field observations.

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(modified from Hack et al. 2002)

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References

  • Barton N, Bandis S (1990) Review of predictive capabilities of JRC-JCS model in engineering practice. In: Barton N, Stephansson O (eds) Rock joints, proc. int. symp. on rock joints, Loen, Norway. Balkema, Rotterdam, pp 603–610

    Google Scholar 

  • BS5930 (1981) Code of practice for ground investigations. British Standards Institute, London

    Google Scholar 

  • Cai J, Yan E, Yeh T, Zha Y, Liang Y, Huang S, Wang W, Wen J (2017) Effect of spatial variability of shear strength on reliability of infinite slopes using analytical approach. Comput Geotech 81:77–86

    Article  Google Scholar 

  • Canal A, Akın M (2016) Assessment of rock slope stability by probabilistic-based slope stability probability classification method along highway cut slopes in Adilcevaz-Bitlis (Turkey). J Mt Sci 13(11):1893–1909

    Article  Google Scholar 

  • Dawson EM, Roth WH, Drescher A (1999) Slope stability analysis by strength reduction. Geotechnique 49:835–840

    Article  Google Scholar 

  • Duncan JM (1996) State of the art: limit equilibrium and finite-element analysis of slopes. J Geotech Eng Div Am Soc Civ Eng 122:577–596

    Article  Google Scholar 

  • Ersöz T, Topal T (2018) Weathering and excavation effects on the stability of various cut slopes in flysch-like deposits. Geotech Geol Eng. https://doi.org/10.1007/s10706-018-0566-z

    Article  Google Scholar 

  • GDDA (1996) Earthquake zoning map of Turkey, Earthquake research department, General Directorate of Disaster Affairs, Ministry of Reconstruction and Resettlement of Turkey

  • Hack R (1998) Slope stability probability classification; SSPC, 2nd version. University of Technology Delft, International Institute for Aerospace Survey and Earth Sciences, ITC, Delft

    Google Scholar 

  • Hack R, Huisman M (2002) Estimating the intact rock strength of a rock mass by simple means. In: van Rooy JL, Jermy CA (eds) Engineering geology for developing countries—proceedings of 9th congress of the international association for engineering geology and the environment. Durban, South Africa

  • Hack R, Price D, Rengers N (2002) A new approach to rock slope stability—a probability classification (SSPC). Bulletin of engineering geology and the environment. Springer, Berlin, p 62

    Google Scholar 

  • ISRM (1981) Suggested methods for determining hardness and abrasiveness of rocks. Rock characterization, testing and monitoring: ISRM suggested Methods. Pergamon, Oxford, pp 95–96

    Google Scholar 

  • Johari A, Lari AM (2017) System probabilistic model of rock slope stability considering correlated failure modes. Comput Geotech 81:26–38

    Article  Google Scholar 

  • Koleini M, Rooy JLV (2011) Falling rock hazard index: a case study from the Marun Dam and power plant, south-western Iran. Bull Eng Geol Environ 70:279–290

    Article  Google Scholar 

  • Lacasse S, Nadim F (1997) Uncertainties in characterising soil properties. Publ Geotek Inst 201:49–75

    Google Scholar 

  • Li D, Xiao T, Cao Z, Phoon K, Zhou C (2016) Efficient and consistent reliability analysis of soil slope stability using both limit equilibrium analysis and finite element analysis. Appl Math Model 40:5216–5229

    Article  Google Scholar 

  • Lindsay P, Campbell R, Fergusson D, Gilard GR, Moore TA (2001) Slope stability probability classification, Waikato coal measures, New Zealand. Int J Coal Geol 45:127–145

    Article  Google Scholar 

  • Luo N, Bathurst RJ, Javankhoshdel S (2016) Probabilistic stability analysis of simple reinforced slopes by finite element method. Comput Geotech 77:45–55

    Article  Google Scholar 

  • Nicholson DT (2004) Hazard assessment for progressive, weathering-related breakdown of excavated rockslopes. Q J Eng Geol Hydrogeol 37:327–346

    Article  Google Scholar 

  • Nicholson DT, Hencher S (1997) Assessing the potential for deterioration of engineered rockslopes. In: Proceedings of the IAEG symposium, Athens, pp 911–917

  • Reale C, Xue J, Pan Z, Gavin K (2015) Deterministic and probabilistic multi-modal analysis of slope stability. Comput Geotech 66:172–179

    Article  Google Scholar 

  • Romana M (1985) New adjustment rating for application of the Bieniawski classification to slopes. In: Proceeding of international symposium on rock mechanics, mining civil works, ISRM. Zacatecas, Mexico, pp 59–63

  • Sarkar S, Roy AK, Raha P (2016) Deterministic approach for susceptibility assessment of shallow debris slide in the Darjeeling Himalayas, India. Catena 142:36–46

    Article  Google Scholar 

  • Singh A (2004) FRHI—a system to evaluate and mitigate rockfall hazard in stable rock excavations. J Div Civ Eng Inst Eng (India) 85:62–75

    Google Scholar 

  • van Westen C, van Asch TWJ, Soeters R (2006) Landslide hazard and risk zonation—why is it still so difficult? Bull Eng Geol Environ 65:167–184

    Article  Google Scholar 

Download references

Acknowledgements

The authors deeply thank the anonymous reviewer of the manuscript for valuable and constructive comments.

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Correspondence to Timur Ersöz.

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Ersöz, T., Topal, T. Assessment of rock slope stability with the effects of weathering and excavation by comparing deterministic methods and slope stability probability classification (SSPC). Environ Earth Sci 77, 547 (2018). https://doi.org/10.1007/s12665-018-7728-4

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  • DOI: https://doi.org/10.1007/s12665-018-7728-4

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