Abstract
This study aimed to quantify the pressure generated by the clayey soil of Tebessa region in order to use it as a parameter for particular construction works. The statistical, principal component analysis and regression tools were used as simple techniques taking into account the combined effects of the soil properties on swelling behavior and dealt with the swell pressure models. In the selection of independent variables; regression analyses were carried out and the multi-colinearity problem was considered, in the multiple regression analysis. Regressors were added to obtain the final model. The obtained model is acceptable and gives the best results when compared to previous cited models in the literature. The regression analysis technique is a powerful predictive tool for assessing the swell pressure for all soil conditions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Buzzi, O.: On the use of dimensional analysis to predict swelling strain. Eng. Geol. 116, 149–156 (2010)
Berrah, Y., Boumezbeur, A., Kherici, N.: Application of dimensional analysis and regression tools to estimate swell pressure of expansive soil in Tebessa (Algeria). Bull. Eng. Geol. Environ. (2016)
Daksanamurthy, V., Raman, V.: A simple method of identifying an expansive soil. Soil Found. Japan. Soc. Soil. Mech. Found. Eng. 13(1), 97–104 (1973)
Erguler, Z.A., Ulusay, E.: A simple test and predictive models for assessing swell potential of Ankara (Turkey) clay. Eng. Geol. 67, 331–352 (2003)
Erzin, Y.: Artificial neural networks approach for swell pressure versus soil suction behavior. Can. Geotech. J. 44(10), 1215–1223 (2007)
Gray, C.W., Allbrook, R.: Relationships between shrinkage indices and soil properties in some New Zealand soils. Geoderma 108(3–4), 287–299 (2002)
Kariuki, P.C., Van der Meer, F.D.: A unified swelling potential index for expansive soils. Eng. Geol. 72, 1–2, 1–8 (2004)
McCormack, D.E., Wilding, L.P.: Soil properties influencing swelling in Canfield and Geeburg soils. Soil Sci. Soc. Am. J. 39, 496–502 (1975)
Marquardt, D.W.: Generalized inverses, ridge regression, biased linear estimation, and nonlinear estimation. Technometrics 12, 591–612 (1970)
Montgomery, D.C.: Introduction to statistical quality control, 7th edn. Wiley, New York, USA (2013)
Nagaraj, T.S., Srinivasa, M.B.R.: Rational approach to prediction swelling soil behavior, transportation research record (1985)
Agus, S.M.: Prediction and classification of expansive clay soils. Expansive Soils Recent Adv. Charact. Treat. (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Berrah, Y., Boumezbeur, A., Charef, N. (2019). Regression Tools to Quantify the Swelling Pressure of Expansive Soil in Tebessa Region (Algeria). In: Kallel, A., et al. Recent Advances in Geo-Environmental Engineering, Geomechanics and Geotechnics, and Geohazards. CAJG 2018. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-01665-4_58
Download citation
DOI: https://doi.org/10.1007/978-3-030-01665-4_58
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01664-7
Online ISBN: 978-3-030-01665-4
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)