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Effect of textural characteristics on engineering properties of some sedimentary rocks

结构特征对沉积岩工程性质的影响

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Abstract

As it is commonly known, the estimation of physical and mechanical characteristics of rocks is very important issue in various geotechnical projects. The characteristics are mainly influenced by the microfabric-texture features of rocks. In this research, dry unit weight, effective porosity, point load index, Schmidt rebound hardness, uniaxial compressive strength, and texture coefficient were measured with the aim of correlating the physical and mechanical properties to the texture coefficient. For this purpose, a comprehensive laboratory testing program was conducted after collecting twenty sedimentary block samples including nine limestones and eleven mudstones, taken from Kalidromo (central Greece) in accordance with ASTM and ISRM standards. Also, mineralogical and petrographic properties, textural characteristics as well as X-ray diffractions were studied and the obtained results were statistically described and analysed. The maximum and minimum values of the texture coefficient were 0.13 and 0.50, respectively. The highest value was obtained for the rocks with a large amount of grains. Regression analyses were used to investigate the relationships between the texture coefficient and the engineering properties. Thus, empirical equations were developed and because of the good determination coefficients, they showed that all of the engineering properties were well correlated to the texture coefficient.

摘要

岩石力学特性的估计在各种岩土工程中非常重要, 这些特征主要受岩石微细结构特征的影响。为了 将织构系数与力学性能联系起来, 测量了干容重、有效孔隙率、点荷载指数、施密特回弹硬度、单轴抗压 强度和织构系数。根据ASTM 和ISRM 标准从Kalidromo (希腊中部)采集了包括9 块石灰岩和11 块泥岩在 内的20 块沉积岩样品, 进行了全面的实验室测试, 对其矿物学和岩石学性质、结构特征及X 射线衍射进 行了研究, 并对所得结果进行了统计描述和分析。纹理系数的最大值为0.13, 最小值为0.50。颗粒含量较 高岩石的值最高。采用回归分析的方法研究了结构系数与工程性能之间的关系。建立了经验方程并选取了 最佳的决定系数, 结果表明, 所有工程特性与纹理系数具有良好的相关性。

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References

  1. EHRLICH R, WEINBERG B. An exact method for characterization of grain shape [J]. Sedim Petrol, 1970, 40(1): 205–212.

    Google Scholar 

  2. OLSSON W A. Grain size dependence of yield stress in marble [J]. Journal of Geophysical Research, 1974, 79: 4859–4861.

    Article  Google Scholar 

  3. HUGMAN R H, FRIEDMAN M. Effects of texture and composition on mechanica behavior of experimentally deformed carbonate rocks [J]. American Association of Petroleum Geologists Bulletin, 1979, 63(9): 1478–1489.

    Google Scholar 

  4. ONODERA T F, ASOKA K H M. Relation between petrographic characteristics, engineering index properties and mechanics properties of selected sandstone [J]. Bulletin of the International Association of Engineering Geology, 1980, 28: 55–71.

    Google Scholar 

  5. WILLIAMS H, TURNER F J, GILBERT C M. Petrography: An introduction to the study of rocks in thin sections [M]. California: W.H. Freeman and Company, 1982.

    Google Scholar 

  6. HOWARTH D F, ROWLANDS J C. Quantitative assessment of rock texture and correlation with drillability and strength properties [J]. Rock Mechanics and Rock Engineering, 1987, 20: 57–85.

    Article  Google Scholar 

  7. ULUSAY R, TURELI K, IDER M H. Prediction of engineering properties of selected litharenite sandstone from its petrographic characteristics using correlation and multivariate statistical techniques [J]. Engineering Geology, 1994, 37: 135–157.

    Article  Google Scholar 

  8. AZZONI A, BILO F, RONDENA E, ZANINETTI A. Assessment of texture coefficient for different rocktypes and correlation with uniaxial compressive strength and rock weathering [J]. Rock Mechanics and Rock Engineering, 1996, 29: 36–46.

    Article  Google Scholar 

  9. JENG F S, WENG M C, LIN M L, HUANG T H. Influence of petrographic parameters on geotechnical properties of tertiary sandstones from Taiwan [J]. Engineering Geology, 2004, 73: 71–91.

    Article  Google Scholar 

  10. KARAKUS M, KUMRAL M, KILIC O. Predicting elastic properties of intact rocks from index tests using multiple regression modelling [J]. Int J Rock Mech Min Sci, 2005, 42(2): 323–330.

    Article  Google Scholar 

  11. CHANG C, ZOBACK M D, KHAKSAR A. Empirical relations between rock strength and physical properties in sedimentary rocks [J]. J Petrol Sci Eng, 2006, 51(3): 223–237.

    Article  Google Scholar 

  12. SONMEZ H, GOKCEOGLU C, NEFESLIOGLU H A, KAYABASI A. Estimation of rock modulus: For intact rocks with an artificial neural network and for rock masses with a new empirical equation [J]. Int J Rock Mech Min Sci, 2006, 43(2): 224–235.

    Article  Google Scholar 

  13. YILMAZ I, YUKSEK A G. An example of artificial neural network (ANN) application for indirect estimation of rock parameters [J]. Rock Mechanics and Rock Engineering, 2008, 41(5): 781–795.

    Article  Google Scholar 

  14. SARKAR K, TIWARY A, SINGH T N. Estimation of strength parameters of rock using artificial neural networks [J]. Bull Eng Geol Environ, 2010, 69(4): 599–606.

    Article  Google Scholar 

  15. YAGIZ S, SEZER E A, GOKCEOGLU C. Artificial neural networks and nonlinear regression techniques to assess the influence of slake durability cycles on the prediction of uniaxial compressive strength and modulus of elasticity for carbonate rocks [J]. Int J Numer Anal Methods Geomech, 2012, 36(14): 1636–1650.

    Article  Google Scholar 

  16. YESILOGLU-GULTEKIN N, SEZER E A, GOKCEOGLU C, BAHYAN H. An application of adaptive neuro fuzzy inference system for estimating the uniaxial compressive strength of certain granitic rocks from their mineral contents [J]. Expert Systems with Applications, 2013, 40(3): 921–928.

    Article  Google Scholar 

  17. AJALLOEIAN R, MOHAMMADI M. Estimation of limestone rock mass deformation modulus using empirical equations [J]. Bull Eng Geol Environ, 2014, 73(2): 541–550.

    Article  Google Scholar 

  18. DIAMANTIS K, GARTZOS E, MIGIROS G. Influence of petrographic characteristics on physico-mechanical properties of ultrabasic rocks from central Greece [J]. Bull Eng Geol Environ, 2014, 73(4): 1273–1292.

    Article  Google Scholar 

  19. DORMISHI A, ATAEI M, MIKAEIL R, KHALO KAKAEI R. Relations between texture coefficient and energy consumption of gang saws in carbonate rock cutting process [J]. Civil Engineering Journal, 2018, 4(2): 413–421. DOI: https://doi.org/10.28991/cej-0309101.

    Article  Google Scholar 

  20. ESMAILZADEH A, BEHNAM S, MIKAEIL R, NAGHADEHI M Z, SAEI S. Relationship between texture and uniaxial compressive strength of rocks [J]. Civil Engineering Journal, 2017, 3(7): 480–486. DOI: https://doi.org/10.28991/cej-2017-00000106.

    Article  Google Scholar 

  21. HEMMATI A, GHAFOORI M, MOOMIVAND H, LASHKARIPOUR G R. The effect of mineralogy and textural characteristics on the strength of crystalline igneous rocks using image-based textural quantification [J]. Engineering Geology, 2019, 266: 105467. DOI: https://doi.org/10.1016/j.enggeo.2019.105467.

    Article  Google Scholar 

  22. HOWARTH D F, ROWLANDS J C. Development of an index to quantify rock texture for qualitative assessment of intact rock properties [J]. Geotechnical Testing Journal, 1986, 9(4): 169–179.

    Article  Google Scholar 

  23. ERSOY A, WALLER M D. Textural characterization of rocks [J]. Engineering Geology, 1995, 39: 123–136.

    Article  Google Scholar 

  24. ÖZTÜRK C A, NASUF E, BILGIN N. The assessment of rock cutability, and physical and mechanical rock properties from a texture coefficient [J]. The Journal of the Southern African Institute of Mining and Metallurgy, 2004, 104(7): 397–402.

    Google Scholar 

  25. ALBER M, KAHRAMAN S. Predicting the uniaxial compressive strength and elastic modulus of a fault breccia from texture coefficient [J]. Rock Mechanics and Rock Engineering, 2009, 42: 117–127.

    Article  Google Scholar 

  26. TANDON R S, GUPTA V. The control of mineral constituents and textural characteristics on the petrophysical & mechanical (PM) properties of different rocks of the Himalaya [J]. Engineering Geology, 2013, 153: 125–143.

    Article  Google Scholar 

  27. GUPTA V, SHARMA R. Relationship between textural, petrophysical and mechanical properties of quartzites: A case study from northwestern Himalaya [J]. Engineering Geology, 2012, 135: 1–9.

    Article  Google Scholar 

  28. ÖZTÜRK C A, NASUF E. Strength classification of rock material based on textural properties [J]. Tunnelling and Underground Space Technology, 2013, 37: 45–54.

    Article  Google Scholar 

  29. ÖZTÜRK C A, NASUF E, KAHRAMAN E. Estimation of rock strength from quantitative assessment of rock texture [J]. The Journal of the Southern African Institute of Mining and Metallurgy, 2014, 1: 471–480.

    Google Scholar 

  30. ASTM. Standard practices for preparing Rock core specimens and determining dimensional and shape tolerances [S]. American Society for Testing and Materials, 2001, D4543.

  31. ULUSAY R, HUDSON J A. The blue book: The complete ISRM suggested methods for rock characterization, testing and monitoring, 1974–2006, compilation arranged by the ISRM Turkish National Group [M]. Ankara: Kazan Offset Press, 2007.

    Google Scholar 

  32. FEREIDOONI D, KHAJEVAND R. Determining the geotechnical characteristics of some sedimentary rocks from Iran with an emphasis on the correlations between physical, index, and mechanical properties [J]. Geotech Test J, 2018, 41(3): 20170058. DOI: https://doi.org/10.1520/GTJ20170058.

    Article  Google Scholar 

  33. ASTM. Standard guide for petrographic examination of dimension stone [S]. ASTM International: West Conshohocken, PA, 2009.

    Google Scholar 

  34. FOLK R L. Spectral subdivision of limestone types [J]. Am Ass Petrol Geo Mem, 1962, 1: 62–84.

    Google Scholar 

  35. FOLK R L. Practical petrographic classification of limestone [J]. Bull Am Ass Petrol Geo, 1959, 43: 1–38.

    Google Scholar 

  36. POTTER P E, MAYNARD J B, PRYOR W A. Sedimentology of shale [M]. New York: Springer, 1980.

  37. DICK J C, SHAKOOR A. Lithologic controls of mudrock durability [J]. Q J Eng Geol, 1992, 25: 31–46.

    Article  Google Scholar 

  38. DUNHAM R J. Classification of carbonate rocks according to depositional texture [M]. Tulsa, Oklahoma: American Association of Petroleum Geologists, 1962.

    Google Scholar 

  39. EMBRY E, ASHTON F, KLOVAN J. A late Devonian reef tract on northeastern Banks Island, N.W.T [J]. Bulletin of Canadian Petroleum Geology, 1971, 19(4): 730–781.

    Google Scholar 

  40. PETTIJOHN F J, POTTER P E, SIEVER R. Sand and sandstone [M]. Berlin: Springer, 1973.

    Book  Google Scholar 

  41. ASTM. Standard test method for the determination of the point load strength index of rock [S]. American Society for Testing and Materials, 2005.

  42. ASTM. Standard test method of unconfined compressive strength of intact rock core specimens [S]. American Society for Testing and Materials, 1986.

  43. PANOZZO R. Orientation and misorientation imaging: integration of microstructural and extural analysis [M]//Textures of Geological Materials. Oberursel: Verlag, 1994.

    Google Scholar 

  44. MANOUCHEHRIAN A, SHARIFZADEH M, MOGHADAM R H. Application of artificial neural networks and multivariate statistics to estimate UCS using textural characteristics [J]. Int J Min Sci Technol, 2012, 22(2): 229–236.

    Article  Google Scholar 

  45. BANDINI A, BERRY P. Influence of marble’s texture on its mechanical behavior [J]. Rock Mechanics and Rock Engineering, 2013, 46: 785–799.

    Article  Google Scholar 

  46. AJALLOEIAN R, MANSOURI H, BARADARAN E. Some carbonate rock texture effects on mechanical behavior, based on Koohrang tunnel data, Iran [J]. Bull Eng Geol Environ, 2016, 76(1): 295–307.

    Article  Google Scholar 

  47. ERSOY H, ACAR S. Influences of petrographic and textural properties on the strength of very strong granitic rocks [J]. Environ Earth Sci, 2016, 75: 1461–1476.

    Article  Google Scholar 

Download references

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Correspondence to Konstantinos Diamantis.

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Diamantis, K., Fereidooni, D., Khajevand, R. et al. Effect of textural characteristics on engineering properties of some sedimentary rocks. J. Cent. South Univ. 28, 926–938 (2021). https://doi.org/10.1007/s11771-021-4654-5

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