Using Empirical Correlations to Evaluate the Compression Index of Tehran Clay

Document Type : Research Article

Authors

Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran

Abstract

Correlations between different parameters are used extensively in geotechnical engineering. Using correlations reduces the costs of testing and more speeds in determining the geotechnical properties of soils. Various relations have been proposed to evaluate geotechnical properties in different regions across the globe. Correlations facilitate the evaluation of geotechnical properties. The correlation between different parameters depends on the type of the soil and the experimental method. Considering the fact that these relations depend on local soil properties, using these relations for other regions is contingent upon a careful evaluation. This study evaluates the feasibility of using correlations presented by researchers in different years for Tehran clay. The evaluation uses different statistical criteria. The study shows the Bowles (1979) relation, correlating the soil compression index and the initial void ratio, is the best fit for Tehran clay among the studied correlations. In addition, the quality of the correlations can be evaluated for Tehran clay. Correlations between the soil compression index and initial void ratio often estimate the compression index with acceptable accuracy while correlations between the compression index and other geotechnical properties, such as the initial water content, plasticity index, shrinkage index, the liquid limit, and the soil density, are less accurate.

Keywords

Main Subjects


[1] A.W. Skempton, O. Jones, Notes on the compressibility of clays, Quarterly Journal of the Geological Society, 100(1-4) (1944) 119-135.
[2] A.S. Azzouz, R.J. KRIZEK, R.B. COROTIS, Regression analysis of soil compressibility, Soils and Foundations, 16(2) (1976) 19-29.
[3] A. Sridharan, H. Nagaraj, Compressibility behaviour of remoulded, fine-grained soils and correlation with index properties, Canadian Geotechnical Journal, 37(3) (2000) 712-722.
[4] M. Ozer, N.S. Isik, M. Orhan, Statistical and neural network assessment of the compression index of clay-bearing soils, Bulletin of Engineering Geology and the Environment, 67(4) (2008) 537-545.
[5] S. Widodo, A. Ibrahim, Estimation of primary compression index (CC) using physical properties of Pontianak soft clay, International Journal of Engineering Research and Applications (IJERA), 2(5) (2012) 2232-2236.
[6] V.K. Jain, M. Dixit, R. Chitra, Correlation of plasticity index and compression index of soil, International Journal of Innovations in Engineering and Technology (IJIET), 5(3) (2015) 263-270.
[7] K. Kootahi, G. Moradi, Evaluation of compression index of marine fine-grained soils by the use of index tests, Marine Georesources & Geotechnology, 35(4) (2017) 548-570.
[8] S. Onyejekwe, X. Kang, L. Ge, Assessment of empirical equations for the compression index of fine-grained soils in Missouri, Bulletin of Engineering Geology and the Environment, 74(3) (2015) 705-716.
[9] D. Akbarimehr, E. Aflaki, An Experimental Study on the Effect of Tire Powder on the Geotechnical Properties of Clay Soils, Civil Engineering Journal, 4(3) (2018) 594-601.
[10] C. Wroth, D. Wood, The correlation of index properties with some basic engineering properties of soils, Canadian Geotechnical Journal, 15(2) (1978) 137-145.
[11] K. Terzaghi, R.B. Peck, Soil mechanics in engineering pratice, 1967.
[12] F. Abdrabbo, M. Mahmoud, Correlations between index tests and compressibility of egyptian clays, Soils and Foundations, 30(2) (1990) 128-132.
[13] J.E. Bowles, Physical and geotechnical properties of soils, (1979).
[14] V. Cozzolino, Statistical forecasting of compression index, in: Proceedings of the 5th international conference on soil mechanics and foundation engineering Paris, 1961, pp. 51-53.
[15] T. Tsuchida, A new concept of e-logp relationship for clays, in: Proceedings of the 9th Asian regional conference on soil mechanics and foundation engineering, Bangkok, Thailand, 1991, pp. 87-90.
[16] n. aBBASI, A new Empirical Equation for Compression Behavior of Unconsolidated Clay Soils, Journal of Civil Engineering Ferdowosi University of mashhad 24(2) (1392) ( in Persion).
[17] S. Koppula, Statistical estimation of compression index, ASTM Geotechnical Testing Journal, 4(2) (1981).
[18] O. Rendon-Herrero, Closure to “Universal Compression Index Equation” by Oswald Rendon-Herrero (November, 1980), Journal of Geotechnical Engineering, 109(5) (1983) 755-761.
[19] B.K. Hough, Basic Soils Engineering, (1957).
[20] Y. Nishida, A brief note on compression index of soil, Journal of the Soil Mechanics and Foundations Division, 82(3) (1956) 1-14.
[21] G. Sandvik, G. Sowers, Introductory soil mechanics and foundations, Introductory soil mechanics and foundations, (1970).
[22] C. Cherubini, Compressibility characteristics of the Matera Blue Clays as determined by means of statistical correlations, in: Proceedings of the 10th European conference on soil mechanics and foundation engineering (AGI), Firenze, 1991, pp. 59-62.
[23] A. Al-Khafaji, O. Andersland, Equations for compression index approximation, Journal of geotechnical engineering, 118(1) (1992) 148-153.
[24] M.A. Grima, R. Babuška, Fuzzy model for the prediction of unconfined compressive strength of rock samples, International Journal of Rock Mechanics and Mining Sciences, 36(3) (1999) 339-349.
[25] J. Finol, Y.K. Guo, X.D. Jing, A rule based fuzzy model for the prediction of petrophysical rock parameters, Journal of Petroleum Science and Engineering, 29(2) (2001) 97-113.
[26] C. Gokceoglu, A fuzzy triangular chart to predict the uniaxial compressive strength of the Ankara agglomerates from their petrographic composition, Engineering Geology, 66(1) (2002) 39-51.
[27] I. Yilmaz, Indirect estimation of the swelling percent and a new classification of soils depending on liquid limit and cation exchange capacity, Engineering Geology, 85(3) (2006) 295-301.
[28] J.-L. Briaud, L.M. Tucker, Measured and predicted axial response of 98 piles, Journal of Geotechnical Engineering, 114(9) (1988) 984-1001.
[29] C. Cherubini, T. Orr, A rational procedure for comparing measured and calculated values in geotechnics, Coastal Geotechnical Engineering in Practice, Yokohama, 1 (2000) 261-265.
[30] C. Giasi, C. Cherubini, F. Paccapelo, Evaluation of compression index of remoulded clays by means of Atterberg limits, Bulletin of Engineering Geology and the Environment, 62(4) (2003) 333-340.
[31] H. Titi, M. Farsakh, Evaluation of Bearing Capacity of Piles from Cone Penetration Test, Lousiana Transportation Research Center, (1999).
[32] M.Y. Abu-Farsakh, H.H. Titi, Assessment of direct cone penetration test methods for predicting the ultimate capacity of friction driven piles, Journal of Geotechnical and Geoenvironmental Engineering, 130(9) (2004) 935-944.
[33] C. Cherubini, C. Giasi, Correlation equations for normal consolidated clays, Coastal Geotechnical Engineering in Practice, Yokohama, 1 (2000) 15-20.
[34] D. Akbarimehr, E. Aflaki, A. Eslami, Experimental Investigation of the Densification Properties of Clay Soil Mixes with Tire Waste, Civil Engineering Journal, 5(2) (2019) 363-372.
[35] D. Akbarimehr, E. Aflaki, An Experimental Study on the Effect of Tire Powder on the Geotechnical Properties of Clay Soils, Civil Engineering Journal, 4(3) (2018) 594-601.
[36] D. Akbarimehr, E. Aflaki, Site investigation and use of artificial neural networks to predict rock permeability at the Siazakh Dam, Iran, Quarterly Journal of Engineering Geology and Hydrogeology, 52(2) (2019) 230-239.