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The estimation of Hamedan limestone brittleness index using point load index and porosity test | ||
| Geopersia | ||
| مقاله 8، دوره 12، شماره 2، بهمن 2022، صفحه 331-352 اصل مقاله (6.62 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/geope.2022.341721.648656 | ||
| نویسندگان | ||
| Mojtaba Rahimi Shahid1؛ Mehrdad Amiri1؛ Gholamreza lashkaripour* 1؛ Siamak Moradi2 | ||
| 1Department of Geology, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran | ||
| 2Department of Geology, Faculty of Science, Kharazmi University, Tehran, Iran | ||
| چکیده | ||
| Brittleness is an important parameter that controls the mechanical behavior and fractures characteristics of rocks in drilling and rock bursting. Lack of accurate evaluation assessing rock brittleness can lead to many risks related to rock mechanics. In this paper, the relationship between brittleness with the ratio of point load index and porosity (PMP), was investigated for Hamedan limestone. Besides, the existing estimation methods for the brittleness index of the rock have been summarized and their application was briefly discussed. In order to estimate brittleness indices and the ratio of point load index to porosity, 18 blocks of Abshineh and Sarab Gyan limestone rocks have been chosen. Abshineh limestone rocks with the Oligo-Miocene age and Sarab Gyan limestones are extracted from Cretaceous rocks. In the following, at first, thin sections of limestone were investigated. Then the physical (porosity (n)) and mechanical properties of limestones were determined. The samples were exposed to point load index (Is 50), uniaxial compressive strength (UCS), and Brazilian tensile strength (BTS) tests, and the ratio of their point load to porosity (PMP) was calculated. Then, the relationship between brittleness indices and PMP (univariate regression) was checked. Also, the relationship between brittleness indices was determined with two-variable regression (input variables including porosity and point load index). Finally, the results of different types of relationships were compared. The results illustrate that using the PMP parameter, to predict the values of brittleness indices, obtains more reliable results compared to two-variable regression (n and Is 50). Also, the results of experiments showed that the highest agreement between brittleness parameters B3 and B4 with PMP parameter and the coefficient of determination (r 2) are 0.89 and 0.90, respectively. | ||
| کلیدواژه‌ها | ||
| Abshineh؛ Limestone؛ Brittleness indices؛ Point load index؛ Porosity | ||
| عنوان مقاله [English] | ||
| - | ||
| مراجع | ||
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Aftes, 2003. Guidelines for characterization of rock masses useful for the design and the construction of underground structures, Tunnels et ouvrages Souterrains, 177: 49.## Aghanabati, A., 2004. Geology of Iran. Geological survey of Iran, 606 pp. (In Persian)## Akinbinu, V.A., 2016. Class I and Class II rocks: implication of self-sustaining fracturing in brittle compression. Geotech Geol Eng, 34:877-887.## Altindag, R., 2002. the evaluation of rock brittleness concept on rotary blast holds drills. Journal of the Southern African Institute of Mining and Metallurgy, 102(1): 61-66.## Altindag, R., 2010. Assessment of some brittleness indexes in rock-drilling efficiency. Rock Mech rock Eng, 43: 361-370.## Altindag, R., Guney A., 2010. Predicting the relationships between brittleness and mechanical properties (UCS, TS and SH) of rocks. SRE, 5 (16): 2107-2118.## Anon., 1979. Classification of rocks and soils for engineering geological mapping, part: Rack and soil materials. Report of the Commission of Engineering Geological Mapping, Bulletin International Association of Engineering Geology, 19: 364-371.## ASTM, 2001. Standard method for determination of the point load strength index of rock, ASTM Standards on Disc 04.08.; Designation D5731.## ASTM, 2001. Standard Test Method for Splitting Tensile Strength of Intact Rock Core Specimens, D3967. Geopersia 2022, 12(2): 331-352 351## Broch, E.M., Franklin, J.A., 1972. the point load strength test. Int J Rock Mech Min Sci, 9:669-697. Chamanzadeh, A., Moshrefy-Far, M.R., Rahimi Shahid, M., Moosavi, S.M., 2016. Statistical analysis of the rock masses permeability in Shahid dam site. International Conference on Civil Engineering, Architecture, Urban Management and Environment in the Third Millennium, Rasht, Iran, p.12.## Dousti, M., 2009. Engineering geology study of limestone rocks in north and northwest of hamadan. M.SC thesis, Bu-Ali Sina University.## Dunham, R.J., 1962. Classification of carbonate rocks according to depositional texture. In Ham WE (ed) Classification of carbonate rocks, American Association of Petroleum Geologists Memoir, vol 1. pp108-121.## Folk, R. L., 1959. Practical petrographic classification of limestones. AAPG bulletin, 43(1), 1-38.## Franklin, J.A., 1970. Classification of rock according to its mechanical properties. P.h.D. Thesis, London Univwersity. Ghobadi, M. H., Amiri, M., Aliani, F., 2018. Determination the Brittleness of peridotites Harsin Kermanshah Province (case study) using physical and mechanical properties. New Findings in Applied Geology, 12 (24): 26-38.## Ghobadi, M. H., Amiri, M., Aliani, F., 2020. The study of engineering geological properties of peridotites in Harsin Kermanshah province (A case study). Journal of Engineering Geology,14 (1):105-132.## Ghobadi, M.H., Amiri, M., Rahimi Shahid, M., The estimation of Brittleness indexes of Qom Formation sandstones in northern Hamedan using the ratio between point load index and porosity. New Findings in Applied Geology. (2022), doi: 10.22084/nfag.2022.25272.1493## Ghobadi, M.H., Naseri, F., 2016. Rock brittleness prediction using geomechanical properties of Hamekasi limestone: regression and artificial neural networks analysis. J Geope, 6(1):19-33.## Goktan, R.M., Yilmaz G. N., 2005. a new methodology for the analysis of the relationship between rock brittleness index and drag pick cutting efficiency. Journal of the South African Institute of Mining and Metallurgy, 105 (10), 727-734.## Gong, Q.M., Zhao, J., 2007. Influence of rock brittleness on TBM penetration rate in Singapore granite. Tunn Undergr Space Technol, 22(3):317-324.## Heidari, M., Karrara, S.S., Khademi Hamidi, J., Sharifi teshnizi, E., 2020. Evaluation brittleness indices of rocks, the implication for estimating their toughness modulus. Scientific Quarterly Journal of Iranian Association of Engineering Geology, 13(3): 51-65.## Heidari, M., Khanlari, G.R., Taleb Beydokhti, A.R., Momeni, A.A., 2011. The formation of cover collapse sinkholes in North of Hamedan Iran. Geomorphology, 132 (3-4): 76-86.## Heidari, M., Khanlari, G.R., Torabi-Kaveh, M., Kargarian, S., Saneie, S., 2014. Effect of porosity on rock brittleness. Rock Mech Rock Eng, 47:785-790.## Hocking, R., 1976. A Biometrics Invited Paper. The Analysis and Selection of Variables in Linear Regression. Biometrics, 32: 1 - 49.## Hoek, E., 1983. Strength of jointed rock masses. Geotechnique, 33(3):187-2.## Hucka, V., Das, B., 1974. Brittleness determination of rocks by different methods. Int J Rock Mech Min Sci Geomech Abstr, 11:389-392.## Hussain, A., Surendar, A., Clementking, A., 2019. Rock brittleness prediction through two optimization algorithms namely particle swarm optimization and imperialism competitive algorithm. Eng Comput, 35:1027-1035## ISRM, 1981. Basic geotechnical description of rock masses, International Society of rock mechanics Commission on the classification of rock and masses. Int Rock Mech Min Sci Geomech, 18: 85-110.## ISRM, 2007. The Complete ISRM, Suggested Methods for Rock characterization testing and monitoring. International Society of rock mechanics, Commission on Testing Methods.## Jamshidi, A., Abdi, Y., Sarikhani, R., 2020. Prediction of Brittleness Indices of Sandstones Using a Novel Physico-Mechanical Parameter. Geotech Geol Eng, 9pp.## Kahraman, S., Altindag, R., 2004. a brittleness index to estimate fracture toughness. International Journal of Rock Mechanics & Mining Sciences, 41: 343-348.## Karami, M., Rahimi Shahid, M., Lashkaripour, G.R., 2021. Prediction of brittleness index and determination of experimental correlation between physical and mechanical properties of limestone of TaleZang Formation in Hawasan dam basement. New Findings in Applied Geology, 15(30): 125-145.## Karimi, H., Taheri, K., 2010. Hazards and mechanism of sinkholes on Kabudar Ahang and Famenin plains of Hamadan Iran. Natural Hazards, 55: 481-499.## Kaunda, R.B., Asbury, B., 2016. Prediction of rock brittleness using nondestructive methods for hard rock tunneling. JRMGE, 8 (4): 533-540.## Khanlari, G.R., Ahmadi, L., Mohammadi, S.D., 2012. A Geotechnical Investigation of the Effect of Grain Size and Texture of Calcareous Rocks on Their Engineering Behavior. 7th EureGeo2012 Bologna, Italy.## Khanlari, G.R., Naseri, F., Osman Pour, A., 2015. Introducing a new aggregate index (AI) using petrographical and geomechanical properties (Case study: Hamedan province limestones). Scientific Quarterly Journal of Iranian Association of Engineering Geology, 8: 51-66.## Khorasani, R., Ajalloeian, R., Jamshidi, A., 2019. Predicting the brittleness of granitic rocks in Tavandasht and Gosheh (Borujerd) by Schmidt hardness and petrographic characteristics. Scientific Quarterly Journal of Iranian Association of Engineering Geology, 11(4): 55-68.## Koopialipoor, M., Noorbakhsh, A., Noroozi Ghaleini, E., 2019. a new approach for estimation of rock brittleness based on non-destructive tests. Nondestructive Test Eval.## Lashkaripour, G.R., Rastegarnia, A., Ghafoori, M., 2018. Assessment of brittleness and empirical correlations between physical and mechanical parameters of the Asmari limestone in Khersan 2 dam site in the southwest of Iran. Journal of African Earth Sciences, 138:124-132.## Moradi, S., Amiri, M., Rahimi Shahid, M., Karrari, S., The presentation of simple and multiple regression relationships to the evaluation of uniaxial compressive strength sedimentary and pyroclastic rocks with usage experimental of the Schmidt hammer. New Findings in Applied Geology. (2021), doi: 10.22084/nfag.2021.24761.1480.## Rahimi Shahid, M., 2022. Evaluation of Multivariable Regression in Predicting Rock Slake Durability Index (Case Study). SJFST Journal of Fundamental Sciences and Technology, 4(1): 12-31.## Rahimi Shahid, M., 2015. Evaluation of engineering geological and geomechanical rock mass of the Khersan 2 dam with an emphasis on the Dilatometers test. Master’s thesis, Faculty of Science,University of Yazd, Iran, 166 pp.## Rahimi Shahid, M., Hashemian, N.S., 2021. Evaluation of Kriging method on estimation of Lugeon data. 39th National Congress and 4th International Congress of Earth Sciences, Iran, 1-12.## Rahimi Shahid, M., Karami, M., Lashkaripour, G.R., 2022. Use of multivariate regression for assessing rock mass permeability in Khersan 2 dam site using discontinuity system parameters. New Findings in Applied Geology, 16(31).## Rahimi Shahid, M., Kargaranbafghi, F., 2021. Determining the Rock Brittle Index (BI) Using Multivariate Regression (A Case Study). Italian Journal of Engineering Geology and Environment, 21(2): 29-39.## Safari Farrokhad, S., Lashkaripour, G.R., Hafezi Moghaddas, N., 2019. Investigation S20 brittleness index of limestone and effective parameters on it at dry and saturated states. Scientific Quarterly Journal of Iranian Association of Engineering Geology, 12(3): 21-36.## Singh, SP.,1986. Brittleness and the mechanical winning of coal. Min Sci Technol, 3(3):173-180.## Xia, Y., Zhou, H., Zhang, C., He, S., GAO, Y., Wang, P., 2019. the evaluation of rock brittleness and its application: a review study. European Journal of Environmental and Civil Engineering, 4: 1-41.## Yagiz, S., 2008. Utilizing rock mass properties for predicting TBM performance in hard rock condition. Tunn Undergr Space Technol, 23(3):326-339.## Yagiz, S., 2017. New equations for predicting the field penetration index of tunnel boring machines in fractured rock mass. Arab J Geosci, 10:33.## Yagiz, S., Gokceoglu, C., 2010. Application of fuzzy inference system and nonlinear regression models for predicting rock brittleness. Expert Syst Appl, 37(3):2265-2272.## Yarali, O., Kahraman, S., 2011. the drillability assessment of rocks using the different brittleness values. In: Tunnelling and Underground Space Technology, 26: 406-414.## Yarali, O., Soyer, E., 2011. The effect of mechanical rock properties and brittleness on drillability. Scientific Research and Essays, 6(5): 1077-1088.## Yarali, O., Soyer, E., 2013. Assessment of the relationship between drilling rate index and mechanical properties of rocks. In: Tunnelling and Underground Space Technology, 33: 46-53## | ||
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