Mining of Mineral Deposits

ISSN 2415-3443 (Online)

ISSN 2415-3435 (Print)

Flag Counter

Probabilistic calculation in terms of deformations of the formations consisting of compacted overburden of Quarternary rocks

Yurii Vynnykov1, Maksym Kharchenko1, Viktoriia Dmytrenko1, Andrii Manhura1

1National University “Yuri Kondratyuk Poltava Polytechnic”, Poltava, 36011, Ukraine


Min. miner. depos. 2020, 14(4):122-129


https://doi.org/10.33271/mining14.04.122

Full text (PDF)


      ABSTRACT

      Purpose is to study the effect of a stress-strain state (SSS) of rock mass on statistical dispersion of deformability characteristics of the compacted overburden; to develop modeling methods of dispersion of random values (RV) influence of subsoil material characteristics; and to analyze their SSS modeling using a finite-element method as well as simulation modeling.

      Methods. The following has been applied: the tested methods of experiment planning theory; methods of rock mechanics; methods of mathematical statistics and probability theory; simulation using Monte Carlo method; and finite-element method (FEM) using elastic-plastic model to simulate SSS of artificial rock masses.

      Findings. Statistic parameters of the distribution of RVs of both analytical and boundary resistances of the compacted overburden have been obtained as well as subsidence of plates (bases) on beddings, and their relative irregularities. Statistic parameters and regularities of plate subsidence have been identified using numerical SSS simulation of beddings, and simulation by means of Monte Carlo method. It has been determined that there is a probability of origination of a nonlinear stage of a basis deformation in addition to a linear one. The fact can be explained by variability of the compacted rock characteristics as well as random nature of loads on the bases. It has been defined that probability failure of the basis on a bedding from 1st boundary condition is allowable since safety characteristic is β > 3-4; in terms of relative irregularity criterion, their subsidence on a one layer bedding achieves 10% when its boundary value (ΔS/L) is u = 0.002 and 3% when its boundary value (ΔS/L) is u = 0.004; however, in the context of a multilayer bedding, the values are only 0.02%, and 0.0006% respectively.

      Originality.It has been identified that determination of deformation of the beddings, belonging to overburden Quarternary rocks, should take into consideration the determined regularities of distribution of physiomechanical characteristics of the compacted soil in the process of analytical numerical simulation, and in the context of finite element method using elastic-plastic model.

      Practical implications. Possibility to utilize overburden Quarternary rocks as well as their mixtures has been proved while using them as a material of soil beddings for buildings and structures; and methods have been developed to calculate artificial formations on the basis of the compacted overburden taking into consideration statistic parameters of distribution of their physiomechanical characteristics.

      Keywords: overburden, soil bedding, multifactor analysis, internal friction angle, specific cohesion, deformation modulus, distribution law, subsidence


      REFERENCES

  1. Briaud, J.-L. (2013) Geotechnical engineering: unsaturated and saturated soils. Hoboken, United States: John Wiley & Sons.https://doi.org/10.1002/9781118686195
  2. Vynnykov, Yu.L., Kharchenko, М.O., Dmytrenko, V.І., & Drozd, I.S. (2019). Ubstantiation of the use conditions small-connecting quarries overburden of iron quartzite deposits for artificial bases of the mining and concentrating complex objects. Traditions and Innovations of Resource-Saving Technologies in Mineral Mining and Processing, 248-265.
  3. Vynnykov, Y., Hajiyev, M., Aniskin, A., & Miroshnychenko, I. (2019). Improvement of settlement calculations of building foundations by increasing the reliability of determining soil compressibility indices. Academic Journal Series: Industrial Machine Building, Civil Engineering, 1(52), 115-123.https://doi.org/10.26906/znp.2019.52.1684
  4. Elishakoff, I. (1999). Probabilistic theory of structures. Mineola, New York: Dover Publications.
  5. Rethaty, L. (1988). Probabilistic solutions in geotechnics. Amsterdam, Nederland: Elsevier.https://doi.org/10.1016/c2009-0-09654-8
  6. Vardanega, P.J., & Haigh, S.K. (2014). The undrained strength – liquidity index relationship. Canadian Geotechnical Journal, 51(9), 1073-1086.https://doi.org/10.1139/cgj-2013-0169
  7. Grimstad, G., Andresen, L., & Jostad, H.P. (2011). NGI-ADP: Anisotropic shear strength model for clay. International Journal for Numerical and Analytical Methods in Geomechanics, 36(4), 483-497.https://doi.org/10.1002/nag.1016
  8. Zotsenko, M., Vynnykov, Y., & Kharchenko, M. (2011). Evaluation of failure probability of soil beddings. Proceedings of the 3rd International Symposium on Geotechnical Safety and Risk, 249-257.
  9. Denies, N., Van Lysebetten, G., Huybrechts, N, De Cock, F., Cameire, B., Maertens, J., & Vervoort, A. (2013). Design of deep soil mix structures: Considerations on the UCS characteristic value. Proceedings of 18th International Conference on soil Mechanics and Geotechnical Engineering, 2465-2468.
  10. Vynnykov, Y., Voskobiinyk, O., Kharchenko, M., & Marchenko, V. (2017). Probabilistic analysis of deformed mode of engineering constructions’ soil-cement grounds. MATEC Web of Conferences, (116), 02038.https://doi.org/10.1051/matecconf/201711602038
  11. Won, J.Y. (2009). A probabilistic approach to estimate one-dimensional consolidation settlements. Proceedings of the 17th International Conference on Soil Mechanics and Geotechnical Engineering, 1-5.https://doi.org/10.3233/978-1-60750-031-5-2012
  12. Leung, Y.F., Klar, A., & Soga, K. (2010). Theoretical study on pile length optimization of pile groups and piled rafts. Journal of Geotechnical and Geoenvironmental Engineering, 136(2), 319-330.https://doi.org/10.1061/(asce)gt.1943-5606.0000206
  13. Al-Bittar, T., & Soubra, A.-H. (2014). Probabilistic analysis of strip footings resting on spatially varying soils and subjected to vertical or inclined loads. Journal of Geotechnical and Geoenvironmental Engineering, 140(4), 04013043.https://doi.org/10.1061/(asce)gt.1943-5606.0001046
  14. Jiang, S.-H., Li, D.-Q., Cao, Z.-J., Zhou, C.-B., & Phoon, K.-K. (2015). Efficient system reliability analysis of slope stability in spatially variable soils using Monte Carlo simulation. Journal of Geotechnical and Geoenvironmental Engineering, 141(2), 04014096.https://doi.org/10.1061/(asce)gt.1943-5606.0001227
  15. Liu, W.F., Leung, Y.F., & Lo, M.K. (2017). Integrated framework for characterization of spatial variability of geological profiles. Canadian Geotechnical Journal, 54(1), 47-58. https://doi.org/10.1139/cgj-2016-0189
  16. Allahverdizadeh, P., Griffiths, D.V., & Fenton, G.A. (2015). Influence of different input distributions on probabilistic outcomes in geotechnical stability analysis. Proceedings of the XVI ECSMGE Geotechnical Engineering for Infrastructure and Development, 1549-1554.
  17. Cho, S.E. (2010). Probabilistic assessment of slope stability that considers the spatial variability of soil properties. Journal of Geotechnical and Geoenvironmental Engineering, 136(7), 975-984.https://doi.org/10.1061/(asce)gt.1943-5606.0000309
  18. Ching, J., Phoon, K.-K., & Chen, Y.-C. (2010). Reducing shear strength uncertainties in clays by multivariate correlations. Canadian Geotechnical Journal, 47(1), 16-33.https://doi.org/10.1139/t09-074
  19. Ching, J., & Phoon, K.-K. (2012). Modeling parameters of structured clays as a multivariate normal distribution. Canadian Geotechnical Journal, 49(5), 522-545.https://doi.org/10.1139/t2012-015
  20. Müller, R., Larsson, S., & Spross, J. (2014). Extended multivariate approach for uncertainty reduction in the assessment of undrained shear strength in clays. Canadian Geotechnical Journal, 51(3), 231-245.https://doi.org/10.1139/cgj-2012-0176
  21. Santoso, A.M., Phoon, K.K., & Tan, T. S. (2013). Estimating strength of stabilized dredged fill using multivariate normal model. Journal of Geotechnical and Geoenvironmental Engineering, 139(11), 1944-1953.https://doi.org/10.1061/(asce)gt.1943-5606.0000910
  22. Лицензия Creative Commons