Comparison of Artificial Neural Networks models with correlative works on undrained shear strength

2009 ◽  
Vol 42 (13) ◽  
pp. 1487-1496 ◽  
Author(s):  
O. Sivrikaya
Keyword(s):  
Neural Networks ◽  
Shear Strength ◽  
Artificial Neural Networks ◽  
Undrained Shear Strength ◽  
Artificial Neural ◽  
Undrained Shear

scholarly journals Evaluation of the Undrained Shear Strength of Organic Soils from a Dilatometer Test Using Artificial Neural Networks

2018 ◽  
Vol 8 (8) ◽  
pp. 1395 ◽  
Author(s):  
Zbigniew Lechowicz ◽  
Masaharu Fukue ◽  
Simon Rabarijoely ◽  
Maria Sulewska
Keyword(s):  
Neural Networks ◽  
Shear Strength ◽  
Artificial Neural Networks ◽  
Relative Error ◽  
Undrained Shear Strength ◽  
Organic Soils ◽  
Maximum Relative Error ◽  
Empirical Methods ◽  
Pressure Reading ◽  
Undrained Shear

The undrained shear strength of organic soils can be evaluated based on measurements obtained from the dilatometer test using single- and multi-factor empirical correlations presented in the literature. However, the empirical methods may sometimes show relatively high values of maximum relative error. Therefore, a method for evaluating the undrained shear strength of organic soils using artificial neural networks based on data obtained from a dilatometer test and organic soil properties is presented in this study. The presented neural network, with an architecture of 5-4-1, predicts the normalized undrained shear strength based on five independent variables: the normalized net value of a corrected first pressure reading (po − uo)/σ′v, the normalized net value of a corrected second pressure reading (p1 − uo)/σ′v, the organic content Iom, the void ratio e, and the stress history indictor (oc or nc). The neural model presented in this study provided a more reliable prediction of the undrained shear strength in comparison to the empirical methods, with a maximum relative error of ±10%.

Application of Artificial Neural Networks for the prediction of undrained shear modulus in cohesive soils

ce/papers ◽  
2018 ◽  
Vol 2 (2-3) ◽  
pp. 833-838
Author(s):  
Grzegorz WRZESIŃSKI ◽  
Zbigniew LECHOWICZ ◽  
Maria J. SULEWSKA
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Shear Modulus ◽  
Cohesive Soils ◽  
Artificial Neural ◽  
Undrained Shear
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