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A platform for research: civil engineering, architecture and urbanism
Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach
Abstract This article examines the capability of Gaussian process regression (GPR) for prediction of effective stress parameter (χ) of unsaturated soil. GPR method proceeds by parameterising a covariance function, and then infers the parameters given the data set. Input variables of GPR are net confining pressure (σ 3), saturated volumetric water content (θ s), residual water content (θ r), bubbling pressure (h b), suction (s) and fitting parameter (λ). A comparative study has been carried out between the developed GPR and Artificial Neural Network (ANN) models. A sensitivity analysis has been done to determine the effect of each input parameter on χ. The developed GPR gives the variance of predicted χ. The results show that the developed GPR is reliable model for prediction of χ of unsaturated soil.
Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach
Abstract This article examines the capability of Gaussian process regression (GPR) for prediction of effective stress parameter (χ) of unsaturated soil. GPR method proceeds by parameterising a covariance function, and then infers the parameters given the data set. Input variables of GPR are net confining pressure (σ 3), saturated volumetric water content (θ s), residual water content (θ r), bubbling pressure (h b), suction (s) and fitting parameter (λ). A comparative study has been carried out between the developed GPR and Artificial Neural Network (ANN) models. A sensitivity analysis has been done to determine the effect of each input parameter on χ. The developed GPR gives the variance of predicted χ. The results show that the developed GPR is reliable model for prediction of χ of unsaturated soil.
Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach
Samui, Pijush (author) / Jagan, J. (author)
Frontiers of Structural and Civil Engineering ; 7 ; 133-136
2013-04-21
4 pages
Article (Journal)
Electronic Resource
English
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