Empirical RQD-based Rock Mass Classification for Isfahan Sandstone Formations
Narges Hayati1; Mohammad Khaleghi2
- Department of Geology, Shiraz Payam Noor University, Shiraz 1743638565, Iran
- Department of Geology, Urmia University, Urmia 5756151818, Iran
Rock Quality Designation (RQD) is a widely recognized empirical method for quantifying and describing rock mass quality and durability, extensively utilized by geotechnical experts. RQD plays a critical role in designing and constructing support systems, as well as in assessing the stability of rock masses for surface and subsurface construction projects. Accurate RQD values are essential for ensuring reliable and effective designs in civil engineering applications. This study focuses on developing an empirical RQD modification tailored for sandstone formations in Isfahan Province, Iran. A comprehensive field survey was conducted, involving the collection of 75 rock samples from 25 stations, alongside detailed field measurements of rock masses to estimate RQD values. The calculated RQD values were further employed to evaluate geomechanical classification indices specific to the sandstone formations in the region. The findings of this study provide valuable insights into the geotechnical properties of Isfahan's sandstone formations, offering improved accuracy in RQD estimation and enhancing the reliability of designs for civil engineering projects in similar geological settings. These results contribute to optimizing support system designs and ensuring stability in both surface and subsurface constructions.
Rock mass classification, Empirical RQD, Isfahan sandstone, Geotechnical assessment, Rock mechanics
The data supporting the findings of this study are available within article. No publicly archived dataset was generated.
This research received no external funding.
- RQD evaluates rock mass quality and stability
- Modified RQD improves sandstone assessment
- Results enhance design and support systems
- Abbas S.M., Konietzky H. (2017). Rock mass classification systems. Introduction to Geomechanics, 9, 1-48.
- Afrouz A. (1992). Practical Handbook of Rock Mass Classification Systems and Modes of Ground Failure. CRC Press, Florida, USA.
- Aghanabati A. (2007). Geology of Iran. Geological Survey and Mineral Exploration of Iran press, Tehran, Iran.
- Aksoy C.O. (2008). Review of rock mass rating classification: Historical developments, applications, and restrictions. Journal of Mining Science, 44, 51-63. https://doi.org/10.1007/s10913-008-0005-2.
- Alzubaidi F., Mostaghimi P., Si G., Swietojanski P., Armstrong R.T. (2022). Automated rock quality designation using convolutional neural networks. Rock Mechanics and Rock Engineering, 55(6), 3719-3734. https://doi.org/10.1007/s00603-022-02805-y.
- Azarafza M., Akgün H., Asghari-Kaljahi E. (2017). Assessment of rock slope stability by slope mass rating (SMR): a case study for the gas flare site in Assalouyeh, South of Iran. Geomechanics and Engineering, 13(4), 571-584. https://doi.org/10.12989/gae.2017.13.4.571.
- Azarafza M., Ghazifard A., Akgun H., Asghari-Kaljahi E. (2019). Geotechnical characteristics and empirical geo-engineering relations of the South Pars Zone marls, Iran. Geomechanics and Engineering, 19(5), 393-405. https://doi.org/10.12989/gae.2019.19.5.393.
- Azarafza M., Nikoobakht S., Rahnamarad J., Asasi F., Derakhshani R. (2020). An empirical method for slope mass rating-Qslope correlation for Isfahan province, Iran. MethodsX, 7, 101069. https://doi.org/10.1016/j.mex.2020.101069.
- Azimian A. (2016). A new method for improving the RQD determination of rock core in borehole. Rock Mechanics and Rock Engineering, 49, 1559-1566. https://doi.org/10.1007/s00603-015-0789-8.
- Barton N. (1999). TBM performance estimation in rock using QTBM. Tunnels and Tunneling International Magazine, September, pp. 30-34.
- Barton N., Lien R., Lunde J. (1974). Engineering classification of rock masses for the design of tunnel support. Rock Mechanics, 6(4), 189-236.
- Berberian M. (1981). Active faulting and tectonics of Iran. Zagros Hindu Kush Himalaya Geodynamic Evolution, 3, 33-69. https://doi.org/10.1029/GD003p0033.
- Bieniawski Z.T. (1989), Engineering Rock Mass Classification, John Wiley, New York, USA.
- Chandrasekaran R., Kumar S.P. (2019). An Integrated Approach of Statistical, Remote Sensing and GIS techniques for Evaluation of Vulnerable Cut Slopes. Applied Mathematics & Information Sciences, 13(6), 923-933. http://dx.doi.org/10.18576/amis/130605.
- Choi S.Y., Park H.D. (2002). Comparison among different criteria of RMR and Q-system for rock mass classification for tunnelling in Korea. Tunnelling and Underground Space Technology, 17(4), 391-401. https://doi.org/10.1016/S0886-7798(02)00063-9.
- Cummings R.A., Kendorski F.S., Bieniawski Z.T. (1982). Caving Rock Mass Classification and Support Estimation. US Bureau of Mines Contract Report No. #J0100103, Engineers International Inc., Chicago, USA.
- Deere D.U. (1989). Rock Quality Designation (RQD) after 20 Years. US Army Engineers Contract Report GL-89-1, Waterways Experimental Station, Vicksburg, Mississippi, USA.
- Deere D.U., Deere D.W. (1988). The rock quality designation (RQD) index in practice. American Society for Testing and Materials (ASTM), 984, 91-101.
- Esmaeili A., Moore F. (2012). Hydrogeochemical assessment of groundwater in Isfahan province, Iran. Environmental Earth Sciences, 67, 107-120. https://doi.org/10.1007/s12665- 011- 1484- z.
- Ferrari F., Apuani T., Giani G.P. (2014). Rock Mass Rating spatial estimation by geostatistical analysis. International Journal of Rock Mechanics and Mining Sciences, 70, 162-176. https://doi.org/10.1016/j.ijrmms.2014.04.016.
- Ghorbani M. (2013). The Economic Geology of Iran: Mineral Deposits and Natural Resources. Springer, pp. 1-450. https://doi.org/10.1007/978-94-007-5625-0.
- Haftani M., Chehreh H.A., Mehinrad A., Binazadeh K. (2016). Practical investigations on use of weighted joint density to decrease the limitations of RQD measurements. Rock Mechanics and Rock Engineering, 49, 1551-1558. https://doi.org/10.1007/s00603-015-0788-9.
- Hashemi S.N., Mehdizadeh R. (2015). Application of hierarchical clustering technique for numerical tectonic regionalization of the Zagros region (Iran). Earth Science Informatics, 8, 367-380. https://doi.org/10.1007/s12145-014-0163-5.
- ISRM (1978) Suggested methods for the quantitative description of discontinuities in rock masses. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 15(6), 319-368.
- Karimpour M.H., Shafaroudi, A.M., Esmaeili Sevieri, A., Saeed S., Allaz J.M., Stern C.R. (2017). Geology, mineralization, mineral chemistry, and ore-fluid conditions of Irankuh Pb-Zn mining district, south of Isfahan. Journal of Economic Geology, 9(2), 267-294. 10.22067/econg.v9i2.64930
- Kendorski F., Cummings R., Bieniawski Z.T., Skinner E. (1983). Rock mass classification for block caving mine drift support. In: Proceedings of the 5th International Congress on Rock Mechanics, Melbourne, Australia.
- Laubscher D.H. (1990). A geomechanical classification system for the rating of rock mass in mine design. Journal of the Southern African Institute of Mining and Metallurgy, 90(10), 257-273.
- Lucian C., Wangwe E.M. (2013). The usefulness of rock quality designation (RQD) in determining strength of the rock. International Refereed Journal of Engineering and Science, 2(9), 36-40.
- Marinos V., Marinos P., Hoek E. (2005). The geological strength index: applications and limitations. Bulletin of Engineering Geology and the Environment, 64, 55-65. https://doi.org/10.1007/s10064-004-0270-5.
- Mohammadi M., Fatemi Aghda S.M., Talkhablou M., Cheshomi A. (2020). Introducing a comprehensive geological and geotechnical classification for urban planning and design, a case study in Isfahan (Iran). Geotechnical and Geological Engineering, 38, 6809-6826. https://doi.org/10.1007/s10706-020-01471-7.
- Moon V., Russell G., Stewart M. (2001). The value of rock mass classification systems for weak rock masses: a case example from Huntly, New Zealand. Engineering Geology, 61(1), 53-67. https://doi.org/10.1016/S0013-7952(01)00024-2.
- Nasr Esfahani A.K., Vahabi Mogadam B. (2010). Tectonic and magmatic settings of the Oligocene felsic outcrops in the south of Ardestan, NE of Isfahan. Petrological Journal, 1(2), 95-108.
- Palmstrom A. (1995). RMi – a rock mass characterization system for rock engineering purposes. Doctoral dissertation, University of Oslo, Oslo, Norway.
- Palmstrom A. (2005). Measurements of and correlations between block size and rock quality designation (RQD). Tunnelling and Underground Space Technology, 20(4), 362-377. https://doi.org/10.1016/j.tust.2005.01.005.
- Palmstrom A. (2009). Combining the RMR, Q, and RMi classification systems. Tunnelling and Underground Space Technology, 24(4), 491.
- Palmstrom A., Broch E. (2006). Use and misuse of rock mass classification systems with particular reference to the Q-system. Tunnelling and Underground Space Technology, 21(6), 575-593. https://doi.org/10.1016/j.tust.2005.10.005.
- Pantelidis L. (2009). Rock slope stability assessment through rock mass classification systems. International Journal of Rock Mechanics and Mining Sciences, 46(2), 315-325. https://doi.org/10.1016/j.ijrmms.2008.06.003.
- Priest S.D., Hudson J.A. (1976). Discontinuity spacings in rock. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 13(5), 135-148. https://doi.org/10.1016/0148-9062(76)90818-4.
- Romana M., Serón J.B., Montalar E. (2003). SMR geomechanics classification: application, experience and validation. In: Proceedings of the 10th Congress of the International Society for Rock Mechanics, South Africa, Sandton, South Africa.
- Saricam T., Ozturk H. (2018). Estimation of RQD by digital image analysis using a shadow-based method. International Journal of Rock Mechanics and Mining Sciences, 112, 253-265. https://doi.org/10.1016/j.ijrmms.2018.10.032.
- Seker S.E., Ocak I. (2019). Performance prediction of roadheaders using ensemble machine learning techniques. Neural Computing and Applications, 31(4), 1103-1116. https://doi.org/10.1007/s00521-017-3141-2.
- Sen Z., Kazi A. (1984). Discontinuity spacing and RQD estimates from finite length scanlines. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 21(4), 203-212. https://doi.org/10.1016/0148-9062(84)90797-6.
- Şen Z., Sadagah B.H. (2003). Modified rock mass classification system by continuous rating. Engineering Geology, 67(3-4), 269-280. https://doi.org/10.1016/S0013-7952(02)00185-0.
- Singh B., Goel R.K. (2011). Engineering rock mass classification: Tunnelling, Foundations and Landslides. Butterworth-Heinemann, Boston, USA.
- Skinner E. (1988). A ground support prediction concept: the rock structure rating (RSR) model. Rock Classification Systems for Engineering Purposes. ASTM International, https://doi.org/10.1520/STP48462S.
- Sonmez H., Ulusay R. (1999). Modifications to the geological strength index (GSI) and their applicability to stability of slopes. International Journal of Rock Mechanics and Mining Sciences, 36(6), 743-760. https://doi.org/10.1016/S0148-9062(99)00043-1.
- Yang B., Mitelman A., Elmo D., Stead D. (2022). Why the future of rock mass classification systems requires revisiting their empirical past. Quarterly Journal of Engineering Geology and Hydrogeology, 55(1), qjegh2021-039. https://doi.org/10.1144/qjegh2021-039.
- Yu Y. (2010). Geostatistical interpolation and simulation of RQD measurement. Doctoral dissertation, University of British Columbia, British Columbia, Canada.
- Zhang L. (2016). Determination and applications of rock quality designation (RQD). Journal of Rock Mechanics and Geotechnical Engineering, 8(3), 389-397. https://doi.org/10.1016/j.jrmge.2015.11.008.
- Zhang L., Einstein H.H. (2004). Using RQD to estimate the deformation modulus of rock masses. International Journal of Rock Mechanics and Mining Sciences, 41(2), 337-341. https://doi.org/10.1016/S1365-1609(03)00100-X.
- Zheng J., Wang X., Lü Q., Liu J., Guo J., Liu T., Deng J. (2020). A contribution to relationship between volumetric joint count (Jv) and rock quality designation (RQD) in three-dimensional (3-D) space. Rock Mechanics and Rock Engineering, 53, 1485-1494. https://doi.org/10.1007/s00603-019-01986-3.