Skip to main content
Log in

Influence of grain size or anisotropy on the correlation between uniaxial compressive strength and sound velocity

  • Original Paper
  • Published:
Bulletin of Engineering Geology and the Environment Aims and scope Submit manuscript

Abstract

Uniaxial compressive strength (UCS) is a critical rock strength parameter, and sound velocity tests are often employed to estimate UCS. However, the equations relating UCS to the sound velocity are grain size or anisotropy dependent, and how such equations respond to these factors remains unknown. To provide guidance for using the sound velocity to predict the UCS of heterogeneous rocks, sandstone (fine- and coarse-grain) and gneiss (0°, 45°, and 90° inclined anisotropy) samples are used to explore the effect of grain size and anisotropy, respectively, on correlations between UCS and the sound velocity. Several significant formulas for predicting UCS can be developed via the sound velocity, except in the case of gneiss with vertical anisotropy. The coarse-grain size and 45° inclined anisotropy increase the discreteness of the UCS data but not the sound velocity. The varying grain size and anisotropy orientation exert a negative influence on the correlation degree between UCS and the sound velocity. UCS values estimated using fine-grain rocks have the lowest relative errors, while considerable relative errors in the estimated UCS occur when using the sound velocity from samples with multidirectional anisotropy. Using empirical equations while ignoring grain size and anisotropy may therefore yield considerable discrepancies in the estimated UCS. This study suggests that the P-wave velocity is the best choice for predicting UCS. Tests should take into consideration varying grain sizes and be performed on rocks with unidirectional anisotropy; however, tests should not be conducted parallel to the anisotropy because of the lack of significant correlation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

Availability of data and material

All data of this paper are listed in tables.

Code availability

No code was included in this paper.

References

  • Ajalloeian R, Jamshidi A, Khorasani R (2020) Evaluating the Effects of Mineral Grain Size and Mineralogical Composition on the Correlated Equations Between Strength and Schmidt Hardness of Granitic Rocks. Geotech Geol Eng. https://doi.org/10.1007/s10706-020-01321-6

    Article  Google Scholar 

  • Al-Harthi AA, Al-Amri RM, Shehata WM (1999) The porosity and engineering properties of vesicular basalt in Saudi Arabia. Eng Geol 54(3–4):313–320

    Article  Google Scholar 

  • Aliyu MM, Shang J, Murphy W, Lawrence JA, Collier R, Kong F, Zhao Z (2019) Assessing the uniaxial compressive strength of extremely hard cryptocrystalline flint. Int J Rock Mech Min Sci 113:310–321

    Article  Google Scholar 

  • ASTM (American Society for Testing and Materials) (2008) Standard test method for determination of the point load strength index of rock and application to rock strength classifications. D5731–08. ASTM International, West Conshohocken, PA, USA

  • Azimian A, Ajalloeian R, Fatehi L (2014) An empirical correlation of Uniaxial Compressive Strength with P-wave velocity and point load strength index on Marly rocks using statistical method. Geotech Geol Eng 32(1):205–214

    Article  Google Scholar 

  • Basu A, Aydin A (2006) Predicting uniaxial compressive strength by point load test: signifcance of cone penetration. Rock Mech Rock Eng 39(5):483–490

    Article  Google Scholar 

  • Basu A, Kamran M (2010) Point load test on schistose rocks and its applicability in predicting uniaxial compressive strength. Int J Rock Mech Min Sci 47(5):823–828

    Article  Google Scholar 

  • Carroll RD (1966) Rock properties interpreted from sonic velocity logs. J Soil Mech Found Eng Div 96(2):43–51

  • China National Standard (2013) Standard for Test Methods of Engineering Rock Mass, GB/T 50266–2013. Beijing (in Chinese)Ҫobanğlu İ, Ҫelik S (2008) Estimation of uniaxial compressive strength from point load strength, Schmidt hardness and P-wave velocity. Bull Eng Geol Environ 67:491–498

    Google Scholar 

  • Ҫobanğlu İ, Ҫelik S (2008) Estimation of uniaxial compressive strength from point load strength, Schmidt hardness and P-wave velocity. Bull Eng Geol Environ 67:491–498

    Article  Google Scholar 

  • Diamantis K, Gartzos E, Migiros G (2009) Study on uniaxial compressive strength, point load strength index, dynamic and physical properties of serpentinites from Central Greece: test results and empirical relations. Eng Geol 108(3–4):199–207

    Article  Google Scholar 

  • Heidari M, Khanlari GR, Kaveh MT, Kargarian S (2012) Predicting the uniaxial compressive and tensile strengths of gypsum rock by point load testing. Rock Mech Rock Eng 45(2):265–273

    Article  Google Scholar 

  • Inoue M, Ohomi M (1981) Relation between uniaxial compressive strength and elastic wave velocity of soft rock. In: Mayashi M, Nishimatsu Y (eds) Akai K. Proceedings of the International Symposium on Weak Rock, Tokyo, pp 9–13

    Google Scholar 

  • ISRM (2007) Suggested Methods for Determining the Uniaxial Compressive Strength and Deformability of Rock Materials. In: Ulusay R, Hudson JA(ed) The complete ISRM suggested methods for rock characterization, testing and monitoring: 1974–2006. ISRM Turkish National Group, Ankara, pp 130–134

  • Jamshidi A, Torabi-Kaveh M (2021) Anisotropy in ultrasonic pulse velocity and dynamic elastic constants of laminated sandstone. Q J Eng Geol Hydroge. https://doi.org/10.1144/qjegh2020-101

    Article  Google Scholar 

  • Jamshidi A, Torabi-Kaveh M, Nikudel MR (2021) Effect of Anisotropy on the Strength and Brittleness Indices of Laminated Sandstone. Iran J Sci Technol A Sci 45(3):927–936

    Article  Google Scholar 

  • Jamshidi A, Zamanian H, Sahamieh RZ (2018) The effect of density and porosity on the correlation between uniaxial compressive strength and P-wave velocity. Rock Mech Rock Eng 51(4):1279–1286

    Article  Google Scholar 

  • Karakul H, Ulusay R (2013) Empirical correlations for predicting strength properties of rocks from P-wave velocity under different degrees of saturation. Rock Mech Rock Eng 46(5):981–999

    Article  Google Scholar 

  • Kahraman S (2001) Evaluation of simple methods for assessing the uniaxial compressive strength of rock. Int J Rock Mech Min Sci 38(7):981–994

    Article  Google Scholar 

  • Khandelwal M (2013) Correlating P-wave velocity with the physico-mechanical properties of different rocks. Pure Appl Geophys 170(4):507–514

    Article  Google Scholar 

  • Khandelwal M, Singh TN (2009) Correlating static properties of coal measures rocks with P-wave velocity. Int J Coal Geol 79(1–2):55–60

    Article  Google Scholar 

  • Kong F, Shang J (2018) A validation study for the estimation of Uniaxial Compressive Strength based on index tests. Rock Mech Rock Eng 51(7):2289–2297

    Article  Google Scholar 

  • Kong F, Xue Y, Qiu D, Gong H, Ning Z (2021a) Effect of grain size or anisotropy on the correlation between uniaxial compressive strength and Schmidt hammer test for building stones. Constr Build Mater 299:123941

  • Kong F, Xue Y, Qiu D, Li Z, Chen Q, Song Q (2021b) Impact of grain size or anisotropy on correlations between rock tensile strength and some rock index properties. Geomech Eng 27(2):131–150

    Google Scholar 

  • Madhubabu N, Singh PK, Kainthola A, Mahanta B, Tripathy A, Singh TN (2016) Prediction of compressive strength and elastic modulus of carbonate rocks. Measurement 88:202–213

    Article  Google Scholar 

  • McNally GH (1987) Estimation of coal measures rock strength using sonic and neutron logs. Geoexploration 24:381–395

    Article  Google Scholar 

  • Mishra DA, Basu A (2013) Estimation of uniaxial compressive strength of rock materials by index tests using regression analysis and fuzzy inference system. Eng Geol 160(12):54–68

    Article  Google Scholar 

  • Moradian ZA, Behnia M (2009) Predicting the uniaxial compressive strength and static Young’s modulus of intact sedimentary rocks using the ultrasonic test. Int J Geomech 9(1):14–19

    Article  Google Scholar 

  • Najibi AR, Ghafoori M, Lashkaripour GR, Asef MR (2015) Empirical relations between strength and static and dynamic elastic properties of Asmari and Sarvak limestones, two main oil reservoirs in Iran. J Petrol Sci Eng 126:78–82

    Article  Google Scholar 

  • OriginLab (2019) Regression and curve Fitting-Interpreting Regression Results. https://www.originlab.com/doc/Origin-Help/Interpret-Regression-Result#Prob.3EF. Accessed 7 Aug 2019

  • Sarkar K, Vishal V, Singh TN (2012) An empirical correlation of index geomechanical parameters with the compressional wave velocity. Geotech Geol Eng 30:469–479

    Article  Google Scholar 

  • Shang J (2020) Rupture of veined granite in polyaxial compression: insights from three‐dimensional discrete element method modeling. J Geophys Res Sol Ea 125(2):e2019JB019052

  • Shang J, Hencher SR, West LJ (2016) Tensile strength of geological discontinuities including incipient bedding, rock joints and mineral veins. Rock Mech Rock Eng 49(11):4213–4225

    Article  Google Scholar 

  • Shang J, West LJ, Hencher SR, Zhao Z (2018) Geological discontinuity persistence: Implications and quantification. Eng Geol 241:41–54

    Article  Google Scholar 

  • Sharma PK, Singh TNA (2008) correlation between P-wave velocity, impact strength index, slake durability index and uniaxial compressive strength. Bull Eng Geol Environ 67:17–22

    Article  Google Scholar 

  • Sousa LMO, Suárez del Río LM, Calleja L, Ruiz de Argandoña VG, Rey AR (2005) Influence of microfraetures and porosity on the physieo-meehanieal properties and weathering of ornamental granites. Eng Geol 77(1–2):153–168

    Article  Google Scholar 

  • Török A, Vasarhelyi B (2010) The influence of fabric and water content on selected rock mechanical parameters of travertine, examples from Hungary. Eng Geol 115:237–245

    Article  Google Scholar 

  • Tuğrul A, Zarif IH (1999) Correlation of mineralogical and textural characteristics with engineering properties of selected granitic rocks from Turkey. Eng Geol 51(4):303–317

    Article  Google Scholar 

  • Xue Y, Kong F, Li S, Zhang Q, Qiu D, Su M, Li Z (2021) China starts the world’s hardest “Sky-High Road” project: Challenges and countermeasures for Sichuan-Tibet railway. The Innovation 2(2):100105

  • Xue Y, Kong F, Li S, Zhang L, Zhou B, Li G, Gong H (2020) Using indirect testing methods to quickly acquire the rock strength and rock mass classification in tunnel engineering. Int J Geomech 20(5):05020001

    Article  Google Scholar 

  • Yagiz S (2011) P-wave velocity test for assessment of geotechnical properties of some rock materials. Bull Mater Sci 34(4):947–953

    Article  Google Scholar 

  • Yaşar E, Erdoğan Y (2004) Correlating sound velocity with the density, compressive strength and young’s modulus of carbonate rocks. Int J Rock Mech Min Sci 41(5):871–875

    Article  Google Scholar 

  • Yesiloglu-Gultekin N, Gokceoglu C, Sezer EA (2013) Prediction of uniaxial compressive strength of granitic rocks by various nonlinear tools and comparison of their performances. Int J Rock Mech Min Sci 62(9):113–122

    Article  Google Scholar 

  • Yilmaz I, Yuksek G (2009) Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models. Int J Rock Mech Min Sci 46:803–810

    Article  Google Scholar 

Download references

Acknowledgements

Much work of this study was funded by the National Natural Science Foundation of China (grant numbers 41877239, 51379112, 51422904, 40902084 and 41772298), Fundamental Research Funds of Shandong University (grant number 2018JC044), and Shandong Provincial Natural Science Foundation (grant numbers JQ201513 and 2019GSF111028).

Funding

The research was supported by National Natural Science Foundation of China (grant numbers 41877239, 51379112, 51422904, 40902084 and 41772298), and Fundamental Research Fund of Shandong University (grant number 2018JC044), and Shandong Provincial Natural Science Foundation (grant number JQ201513).

Author information

Authors and Affiliations

Authors

Contributions

F. Kong provided writing—original draft preparation, reviewing, and editing. Y. Xue did conceptualization, methodology, and writing—original draft preparation. D. Qiu, Q. Song, and Q. Chen reviewed and edited the study.

Corresponding author

Correspondence to Yiguo Xue.

Ethics declarations

Conflicts of interest

The authors declare that they have no conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kong, F., Xue, Y., Qiu, D. et al. Influence of grain size or anisotropy on the correlation between uniaxial compressive strength and sound velocity. Bull Eng Geol Environ 81, 219 (2022). https://doi.org/10.1007/s10064-022-02697-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10064-022-02697-w

Keywords

Navigation