NDLI: Formulation of soil angle of shearing resistance using a hybrid GP and OLS method

Content Provider	Springer Nature Link
Author	Mousavi, Seyyed Mohammad Alavi, Amir Hossein Mollahasani, Ali Gandomi, Amir Hossein Arab Esmaeili, Milad
Copyright Year	2011
Abstract	In the present study, a prediction model was derived for the effective angle of shearing resistance (ϕ′) of soils using a novel hybrid method coupling genetic programming (GP) and orthogonal least squares algorithm (OLS). The proposed nonlinear model relates ϕ′ to the basic soil physical properties. A comprehensive experimental database of consolidated-drained triaxial tests was used to develop the model. Traditional GP and least square regression analyses were performed to benchmark the GP/OLS model against classical approaches. Validity of the model was verified using a part of laboratory data that were not involved in the calibration process. The statistical measures of correlation coefficient, root mean squared error, and mean absolute percent error were used to evaluate the performance of the models. Sensitivity and parametric analyses were conducted and discussed. The GP/OLS-based formula precisely estimates the ϕ′ values for a number of soil samples. The proposed model provides a better prediction performance than the traditional GP and regression models.
Starting Page	37
Ending Page	53
Page Count	17
File Format	PDF
ISSN	01770667
Journal	Engineering with Computers
Volume Number	29
Issue Number	1
e-ISSN	14355663
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-09-13
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Effective angle of shearing resistance Soil physical properties Genetic programming Orthogonal least squares Hybridization Computer-Aided Engineering (CAD, CAE) and Design Math. Applications in Chemistry Systems Theory, Control Calculus of Variations and Optimal Control; Optimization Mechanics ApplicationMathematics/Computational Methods of Engineering
Content Type	Text
Resource Type	Article
Subject	Engineering Computer Science Applications Modeling and Simulation Software

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