Nonlinear genetic-based simulation of soil shear strength parameters

Journal of Earth system science

Ali Mollahasani4²  Amir Hossein Gandomi3³  Seyyed Mohammad Mousavi1¹  Amir Hossein Alavi2⁴ 

[1] Department of Geography and Urban Planning, Faculty of Humanities and Social Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran.$$;Young Researchers Club, Central Tehran Branch, Islamic Azad University, Tehran, Iran.$$;Department of Civil, Environmental and Material Engineering (DICAM), University of Bologna, Bologna, Italy.$$;Young Researchers Club, Mashhad Branch, Islamic Azad University, Mashhad, Iran.$$

关键词: Soil shear strength parameters;    soil physical properties;    linear-based genetic programming;    prediction.;   

DOI  :  

学科分类：天文学(综合)

来源: Indian Academy of Sciences

【 摘 要 】

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.

【 授权许可】

Unknown