Journal of Earth System Science

, Volume 120, Issue 6, pp 1001–1022 | Cite as

Nonlinear genetic-based simulation of soil shear strength parameters

  • AMIR HOSSEIN ALAVIEmail author

New nonlinear solutions were developed to estimate the soil shear strength parameters utilizing linear genetic programming (LGP). The soil cohesion intercept (c) and angle of shearing resistance (ϕ) were formulated in terms of the basic soil physical properties. The best models were selected after developing and controlling several models with different combinations of influencing parameters. Comprehensive experimental database used for developing the models was established upon a series of unconsolidated, undrained, and unsaturated triaxial tests conducted in this study. Further, sensitivity and parametric analyses were carried out. c and ϕ were found to be mostly influenced by the soil unit weight and liquid limit. In order to benchmark the proposed models, a multiple least squares regression (MLSR) analysis was performed. The validity of the models was proved on portions of laboratory results that were not included in the modelling process. The developed models are able to effectively learn the complex relationship between the soil strength parameters and their contributing factors. The LGP models provide a significantly better prediction performance than the regression models.


Soil shear strength parameters soil physical properties linear-based genetic programming  prediction 


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Copyright information

© Indian Academy of Sciences 2012

Authors and Affiliations

    • 1
    • 2
    Email author
    • 3
    • 4
  1. 1.Department of Geography and Urban Planning, Faculty of Humanities and Social Sciences, Science and Research BranchIslamic Azad UniversityTehranIran
  2. 2.Young Researchers Club, Mashhad BranchIslamic Azad UniversityMashhadIran
  3. 3.Department of Civil, Environmental and Material Engineering (DICAM)University of BolognaBolognaItaly
  4. 4.Young Researchers Club, Central Tehran BranchIslamic Azad UniversityTehranIran

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