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Case studies on Q-slope method use for slope stability analyses

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EN
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EN
The use of the Q-slope value is a relatively new approach for the stability investigations of rock slopes. In this study, four different slopes in Giresun and Ordu cities of Turkey were investigated to assess whether the Q-slope approach is usable for varying slope heights, or not. A back analysis was carried out for a landslide in a case study quarry located in Kovanlik municipality of Giresun city. Carrying out detailed investigations on the geotechnical drill cores and the field studies, the Q-slope value of the rock mass of the Kovanlik quarry was determined as 0.58. According to the Q-slope approach, the slope which had a landslide under the case of 49° general slope angle and 225 m height should have been stable at a general slope angle of 59°. It has been found that the Q-slope approach is not favorable for a high slope with the height of 225 m. Two roadway excavations with steep slope angles and low heights smaller than 25 m were also investigated within this study. According to the Q-slope value, the roadway slopes which are stable for more than 3 years are estimated to be unstable. Therefore, the Q-slope approach was found also misleading for slopes with low heights like those under 25 m. On the other hand, the Q-slope method usability is confirmed obtaining parallel results with the observations from another case study slope with a height of 78 m. Although it has become a popular empirical method in the recent years, it is recommended to revise the Q-slope approach or limit its use depending on the slope height parameter.
Wydawca
Rocznik
Strony
190--197
Opis fizyczny
Bibliogr. 31 poz., rys., tab.
Twórcy
autor
  • Giresun University, Department of Civil Engineering, Giresun, Turkey
Bibliografia
  • [1] Bar, N., Barton, N. (2017). The Q-slope method for rock slope engineering. Rock Mechanics and Rock Engineering, 50(12), 3307–3322. https://doi.org/10.1007/s00603-017-1305-0
  • [2] Terzaghi K. (1946). Rock defects and loads on tunnel supports. Harvard University press, Massachusetts, USA.
  • [3] Ahadi-Ravoshti, D., Hajiagha, L.F. (2018). Utilization of the Q-slope empirical classification system in jointed rock slopes: A case study for Bonab-Malekan highway. Journal of Geotechnical Geology, 14 (2), 193–196
  • [4] Azarafza, M., Nanehkaran, Y.A., Rajabion, L., Akgün, H., Rahnamarad, J., Derakhshani, R., Raoof, A. (2020). Application of the modified Q-slope classification system for sedimentary rock slope stability assessment in Iran. Engineering Geology, 264, 105349. https://doi.org/10.1016/j.enggeo.2019.105349
  • [5] Jordá-Bordehore, L. (2017). Application of Qslope to assess the stability of rock slopes in Madrid Province, Spain. Rock Mechanics and Rock Engineering, 50, 1947–1957. https://doi.org/10.1007/s00603-017-1211-5.
  • [6] Song, Y., Xue, H. & Meng, X. (2019). Evaluation method of slope stability based on the Qslope system and BQ method. Bulletin of Engineering Geology and the Environment, 78, 4865–4873 (2019). https://doi.org/10.1007/s10064-019-01459-5
  • [7] Taheri, A., Tani, K. (2010). Assessment of the Stability of Rock Slopes by the Slope Stability Rating Classification System. Rock Mechanics and Rock Engineering, 43, 321–333. https://doi.org/10.1007/s00603-009-0050-4
  • [8] Chakraborty, A., Goswami, D. (2017). Prediction of slope stability using multiple linear regression (MLR) and artificial neural network (ANN). Arabian Journal of Geosciences, 10, 385. https://doi.org/10.1007/s12517-017-3167-x
  • [9] Ersöz, T., Topal, T. (2018). Assessment of rock slope stability with the effects of weathering and excavation by comparing deterministic methods and slope stability probability classification (SSPC). Environtal Earth Sciences, 77, 547. https://doi.org/10.1007/s12665-018-7728-4
  • [10] Chatterjee, D., Krishna, A.M. (2019). Effect of slope angle on the stability of a slope under rainfall infiltration. Indian Geotechnical Journal, 49, 708–717. https://doi.org/10.1007/s40098-019-00362-w
  • [11] Adamczyk, J., Cała M., Flisiak, J., Kolano, M., Kowalski, M. (2013). Slope stability analysis of waste dump in sandstone open pit Osielec. Studia Geotechnica et Mechanica, 45(1), 3–17. https://doi.org/10.2478/sgem-2013-0001
  • [12] Abdi, A., Abbeche, K., Athmania, D., Bouassida, M. (2019). Effective width rule in the analysis of footing on reinforced sand slope. Studia Geotechnica et Mechanica, 41(1), 42–55. https://doi.org/10.2478/sgem-2019-0005
  • [13] Pasik, T., van der Meij, R. (2018). Locating critical circular and unconstrained failure surface in slope stability analysis with tailored genetic algorithm. Studia Geotechnica et Mechanica, 39(4), 87–98. https://doi.org/10.1515/sgem-2017-0039
  • [14] Satyanarayana, I., Budi, G., Murmu, S. (2021). Stability analysis of a deep highwall slope using numerical modelling and statistical approach—a case study. Arabian Journal of Geosciences, 14, 179. https://doi.org/10.1007/s12517-021-06476-x
  • [15] Kelesoglu, M.K. (2016). The evaluation of three-dimensional effects on slope stability by the strength reduction method. KSCE Journal of Civil Engineering, 20, 229–242. https://doi.org/10.1007/s12205-015-0686-4
  • [16] Akbulut, I., Çam, I., Aksoy, T., Ölmez, T., Çağlan, D., Onak A., Sezer, S., Yurtseven, N., Sülükçü, S., Çevik, M., Çalışkan, V. (2014). Stability studies of the eastern slopes of afsin-elbistan, kislaköy open-pit lignite mine (Kahramammaras, SE turkey), using the ‘finite elements’ and ‘limit equilibrium’ methods. Bulletin of the Mineral Research and Exploration, 148: 107–118. https://doi.org/10.19111/bmre.17898
  • [17] Gao, W., Wang, X., Dai, S., Chen, D. (2016). Study on stability of high embankment slope based on black hole algorithm. Environmental Earth Sciences, 75, 1381. https://doi.org/10.1007/s12665-016-6208-y
  • [18] Xu, Y., Li, J., Fan, H., Chen, L., Zhao, Y., Li, L. (2017). Stability Analysis of Clastic Rock Slope with Mudstone Interlayer Under Rainfall Infiltration. Geotechnical and Geological Engineering, 35, 1871–1883. https://doi.org/10.1007/s10706-017-0215-y
  • [19] Deng, Dp., Li, L. (2019). Failure modes and a calculation method for a stability analysis on a layered slope with a focus on interlayer sliding. Arabian Journal of Geosciences, 12, 182. https://doi.org/10.1007/s12517-019-4308-1
  • [20] Wang, Y., Chai, J., Cao, J. Qin, Y., Xu, Z., Zhang, X. (2020). Effects of seepage on a three-layered slope and its stability analysis under rainfall conditions. Natural Hazards, 102, 1269–1278. https://doi.org/10.1007/s11069-020-03966-1
  • [21] Mukhlisin, M., Khiyon, K.N. (2018). The effects of cracking on slope stability. Journal of the Geological Society of India, 91, 704–710. https://doi.org/10.1007/s12594-018-0927-5
  • [22] Komurlu, E., Demir, S. (2019). Use of Rock Mass Rating (RMR) values for Support Designs of Tunnels excavated in Soft Rocks without Squeezing Problem. Geoscience Engineering, 65(2), 1–17. https://doi.org/10.35180/gse-2019-0007
  • [23] Sarkar, S., Kanungo, D.P., Kumar, S. (2012). Rock mass classification and slope stability assessment of road cut slopes in Garhwal Himalaya, India. Geotechnical and Geological Engineering, 30, 827–840. https://doi.org/10.1007/s10706-012-9501-x
  • [24] Pinheiro, M., Sanches, S., Miranda, T., Neves, A., Tinoco, J., Ferreira, A., Correia A.G. (2015). A new empirical system for rock slope stability analysis in exploitation stage. International Journal of Rock Mechanics and Mining Sciences, 76, 182–191. https://doi.org/10.1016/j.ijrmms.2015.03.015
  • [25] Basahel, H., Mitri, H. (2017). Application of rock mass classification systems to rock slope stability assessment: A case study. Journal of Rock Mechanics and Geotechnical Engineering, 9, 993–1009. https://doi.org/10.1016/j.jrmge.2017.07.007
  • [26] Chen, M., Lu, W., Xin, X., Zhao, H., Bao, X., Jiang, X. (2016). Critical geometric parameters of slope and their sensitivity analysis: a case study in Jilin, Northeast China. Environmental Earth Sciences, 75, 832. https://doi.org/10.1007/s12665-016-5623-4
  • [27] Das, S.K., Biswal, R.K., Sivakugan, N., Das, B., (2011). Classification of slopes and prediction of factor of safety using differential evolution neural networks. Environmental Earth Sciences, 64(1), 201–210. https://doi.org/10.1007/s12665-010-0839-1
  • [28] Fu, Y., Li, J. (1991). Method of railway rock slope angle determination. Journal of Southwest Jiaotong University, 2, 56–60
  • [29] Hoek, E., Bray, J.W. (1981). Rock slope engineering. The Institution of Mining and Metallurgy, London
  • [30] Michalowski, R.L. (2013). Stability assessment of slopes with cracks using limit analysis. Canadian Geotechnical Journal. 50(10), 1011–1021. https://doi.org/10.1139/cgj-2012-0448
  • [31] Jiang, Q., Qi, Z., Wei, W., Zhou, C. (2015). Stability assessment of a high rock slope by strength reduction finite element method. Bulletin of Engineering Geology and the Environment, 74, 1153–1162. https://doi.org/10.1007/s10064-014-0698-1
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6c46b8e1-45d5-46fc-aa1e-8a697cb9707e
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