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The use of index parameters to predict soil geotechnical properties

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Abstract

This paper presents new attempts to explore the dependency of some key geotechnical properties of soils such as compaction characteristics, hydraulic conductivity, and soil shear strength to their index properties and performance of developed models to predict these properties. To do this, a database of 580 data sets was compiled including the results of grain size distribution, Atterberg limits, compaction, and permeability, measured at different levels of compaction degree (90 to 100 %) as well as consolidated-drained triaxial compression tests. Dependency of each geotechnical property to their index parameters was investigated using an Evolutionary polynomial regression method, to develop prediction models based on the collected database. Investigation of the performance of the developed models indicates that these models are capable of predicting these soil properties with a confidence interval of 95 %. Parametric analyses were also performed on the developed models.

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Acknowledgments

The database used in this research has been mainly obtained from the geotechnical engineering laboratory at the Federal University of Bahia (UFBA), which is gratefully acknowledged.

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Authors and Affiliations

  1. Department of Civil Engineering, University of Guilan, Gilan, Iran

    Reza Jamshidi Chenari, Parichehr Tizpa, Mohammad Rasool Ghorbani Rad & Mehran Karimpour Fard

  2. Federal University of Bahia, Salvador, Brazil

    Sandro Lemos Machado

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  1. Reza Jamshidi Chenari
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  2. Parichehr Tizpa
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  3. Mohammad Rasool Ghorbani Rad
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  4. Sandro Lemos Machado
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  5. Mehran Karimpour Fard
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Correspondence to Mehran Karimpour Fard.

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Jamshidi Chenari, R., Tizpa, P., Ghorbani Rad, M. et al. The use of index parameters to predict soil geotechnical properties. Arab J Geosci 8, 4907–4919 (2015). https://doi.org/10.1007/s12517-014-1538-0

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  • DOI: https://doi.org/10.1007/s12517-014-1538-0

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