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A new method for evaluating rock mass quality of slopes based on interval continuous mathematical models

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Abstract

Rock mass classification has been playing an important role in the analyses of civil engineering in recent years. The quality evaluation of slope rock mass becomes essential for slope stability assessment. Neither continuous expression and comparable function are rarely taken into consideration in rock mass classification, nor is the shortage in the previous quality evaluation of slop rock mass. Through constructing the benchmark intervals of evaluation indicators; mathematical models between quantized value and relative quantized value which is a new proposed parameter; and linear weighted function, the interval continuous mathematical models (ICMM) for quality evaluation of slope rock mass are presented. The application result shows that ICMM is effective for improving the comparability of rock mass quality of slopes by unifying evaluation indicators. On the other hand, the ICMM realizes the continuous expression of rock mass quality of slopes by removing the step-like features caused by the pre-set rating criteria of each evaluation indicator and rock mass quality classification, guiding the follow-up construction and protection of slopes, and ensuring the balance between economy and safety. Therefore, the ICMM is more scientific and reasonable than extant classification systems for evaluating rock mass quality of slopes.

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References

  • Aydan Ö, Ulusay R, Tokashiki N (2014) A new rock mass quality rating system: rock mass quality rating (RMQR) and its application to the estimation of geomechanical characteristics of rock masses. Rock Mech Rock Eng 47:1255–1276

    Article  Google Scholar 

  • Azarafza M, Akgun H, Kaljahi EA (2017) Assessment of rock slope stability by slope mass rating (SMR): a case study for the gas flare site in Assalouyeh, south of Iran. Geomech Eng 13:571–584

    Google Scholar 

  • Barton N, Lien R, Lunde J (1974) Engineering classification of rock masses for the design of tunnel support. Rock Mech 6:189–236

    Article  Google Scholar 

  • Bieniawski ZT (1973) Engineering classification of jointed rock masses. Trans S Afr Inst Civil Eng 15:335–343

    Google Scholar 

  • Bieniawski ZT (1979) The geomechanics classification in rock engineering applications. Proceeding of the 4th International Congress on Rock Mechanics, Montreux

  • Bieniawski ZT (1989) Engineering rock mass classification. Wiley, New York

    Google Scholar 

  • Chen ZY (1995) Recent developments in slope stability analysis. Proceedings of the 8th International Congress on Rock Mechanics, Tokyo

  • Daftaribesheli A, Ataei M, Sereshki F (2011) Assessment of rock slope stability using the fuzzy slope mass rating (FSMR) system. Appl Soft Comput 11:4465–4473

    Article  Google Scholar 

  • Deere DU (1964) Technical description of rock cores for engineering purpose. Rock Mech Eng Geol 1:17–22

    Google Scholar 

  • Fereidooni D, Khanlari GR, Heidari M (2015) Assessment of a modified rock mass classification system for rock slope stability analysis in the Q-system. Earth Sci Res J 19:147–152

    Article  Google Scholar 

  • Hamidi JK, Shahriar K, Rezai B, Rostami J (2010) Performance prediction of hard rock TBM using rock mass rating (RMR) system. Tunn Undergr Sp Tech 25:333–345

    Article  Google Scholar 

  • Ji F, Shi YC, Li RJ, Zhou CH, Zhang N, Gao JS (2019) Modified Q-index for prediction of rock mass quality around a tunnel excavated with a tunnel boring machine (TBM). B Eng Geol Environ 78:3755–3766

    Article  Google Scholar 

  • Jordá-Bordehore L (2017) Application of Q (slope) to assess the stability of rock slopes in Madrid province, Spain. Rock Mech Rock Eng 50:1947–1957

    Article  Google Scholar 

  • Laubscher DH (1990) A geomechanics classification system for the rating of rock mass in mine design. J S Afr Inst Min Metall 90:257–273

    Google Scholar 

  • Liu DX, Cao P (2015) Preliminary study of improved SMR method based on gray system theory. Rock Soil Mech 36:408–412 (in Chinese)

    Google Scholar 

  • Liu KY, Liu BG, Fang Y (2019) An intelligent model based on statistical learning theory for engineering rock mass classification. B Eng Geol Environ 78:4533–4548

    Article  Google Scholar 

  • Morales M, Panthi KK, Botsialas K (2019) Slope stability assessment of an open pit mine using three-dimensional rock mass modeling. B Eng Geol Environ 78:1249–1264

    Article  Google Scholar 

  • Pantelidis L (2010) An alternative rock mass classification system for rock slopes. B Eng Geol Environ 69:29–39

    Article  Google Scholar 

  • Pells PJ, Bieniawski ZT, Hencher SR, Pells SE (2017) Rock quality designation (RQD): time to rest in peace. Can Geotech J 54:825–834

    Article  Google Scholar 

  • Rad HN, Jalali Z (2019) Modification of rock mass rating system using soft computing techniques. Eng Comput-Germany 35:1333–1357

    Google Scholar 

  • Riquelme AJ, Tomas R, Abellan A (2016) Characterization of rock slopes through slope mass rating using 3D point clouds. Int J Rock Mech Min Sci 84:165–176

    Article  Google Scholar 

  • Romana MR (1985) New adjustment ratings for application of Bieniawski classification to slopes. Proceeding of the International Symposium on Role of Rock Mechanics. Zacatecas, Mexico

    Google Scholar 

  • Saroglou C, Qi SW, Guo SF, Wu FQ (2019) ARMR, a new classification system for the rating of anisotropic rock masses. B Eng Geol Environ 78:3611–3626

    Article  Google Scholar 

  • Singh RP, Dubey CS, Singh SK, Shukla DP, Mishra BK, Tajbakhsh M, Ningthoujam PS, Sharma M, Singh N (2013) A new slope mass rating in mountainous terrain, Jammu and Kashmir Himalayas: application of geophysical technique in slope stability studies. Landslides 10:255–265

    Article  Google Scholar 

  • Warren SN, Kallu RR, Barnard CK (2016) Correlation of the Rock Mass Rating (RMR) System with the Unified Soil Classification System (USCS): Introduction of the Weak Rock Mass Rating System (W-RMR). Rock Mech Rock Eng 49:4507–4518

    Article  Google Scholar 

  • Yardimci AG, Karpuz C (2018) Fuzzy approach for preliminary design of weak rock slopes in lignite mines. B Eng Geol Environ 77:253–264

    Article  Google Scholar 

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Acknowledgments

Financial support for this work, provided by the Central South University Innovation Leadership Talents Project (506030101) and the Huxiang High-level Talents Aggregation Project Innovation Talents Project (2018RS3013), is gratefully acknowledged.

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Authors and Affiliations

  1. School of Geosciences and Info-Physics, Central South University, Changsha, 410083, People’s Republic of China

    Lixin Wu & Dixu Liu

  2. School of Resources and Safety Engineering, Central South University, Changsha, 410083, People’s Republic of China

    Ping Cao

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  1. Lixin Wu
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  2. Dixu Liu
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  3. Ping Cao
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Correspondence to Dixu Liu.

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Wu, L., Liu, D. & Cao, P. A new method for evaluating rock mass quality of slopes based on interval continuous mathematical models. Bull Eng Geol Environ 79, 1357–1364 (2020). https://doi.org/10.1007/s10064-019-01661-5

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  • DOI: https://doi.org/10.1007/s10064-019-01661-5

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