Nonlinear genetic-based simulation of soil shear strength parameters |
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Authors: | SEYYED MOHAMMAD MOUSAVI AMIR HOSSEIN ALAVI AMIR HOSSEIN GANDOMI ALI MOLLAHASANI |
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Institution: | 1.Department of Geography and Urban Planning, Faculty of Humanities and Social Sciences, Science and Research Branch,Islamic Azad University,Tehran,Iran;2.Young Researchers Club, Mashhad Branch,Islamic Azad University,Mashhad,Iran;3.Department of Civil, Environmental and Material Engineering (DICAM),University of Bologna,Bologna,Italy;4.Young Researchers Club, Central Tehran Branch,Islamic Azad University,Tehran,Iran |
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Abstract: | 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. |
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