Prediction of Liquefaction Potential of Sandy Soil around a Submarine Pipeline under Earthquake Loading

AbstractLiquefaction of sandy porous soil under earthquake waves is the most important feature governing the serviceability of underground pipelines. In this study, an artificial neural network (ANN) is combined with the mesh-free local radial basis function differential quadrature (LRBF-DQ) method...

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Bibliographic Details
Published in:Journal of pipeline systems 2019-05, Vol.10 (2)
Main Authors: Kutanaei, Saman Soleimani, Choobbasti, Asskar Janalizadeh
Format: Article
Language:English
Subjects:
Artificial neural networks
Basis functions
Deformation
Earthquake loading
Earthquakes
Finite element method
Fluid pressure
Hydraulic conductivity
Hydraulics
Liquefaction
Meshless methods
Neural networks
Ocean floor
Poisson's ratio
Pore pressure
Radial basis function
Sandy soils
Seismic activity
Sensitivity analysis
Soil porosity
Soil properties
Submarine pipelines
Technical Papers
Underwater pipelines
Underwater structures
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Summary:AbstractLiquefaction of sandy porous soil under earthquake waves is the most important feature governing the serviceability of underground pipelines. In this study, an artificial neural network (ANN) is combined with the mesh-free local radial basis function differential quadrature (LRBF-DQ) method to estimate the effect of soil properties such as the hydraulic conductivity, unit weight, Poisson’s ratio, and deformation module on the excess pore fluid pressure and the liquefaction potential surrounding a submarine pipeline under earthquake loading. The LRBF-DQ method was used to solve the governing equations. The results obtained by the LRBF-DQ codes and ANN show that with an increase of Poisson’s ratio, the deformation module, and hydraulic conductivity of the porous seabed, the pore fluid pressure and the liquefaction potential are reduced. Moreover, the sensitivity analysis of the ANN model showed that hydraulic conductivity has a significant impact on the excess pore pressure compared with other parameters.
ISSN:1949-1190
1949-1204
DOI:10.1061/(ASCE)PS.1949-1204.0000349