A novel semi-micro multilaminate elasto-plastic model for the liquefaction of sand

After the liquefaction of sand, the prediction of anisotropy and heterogeneity is one of the complexities of constitutive law. This study aimed to develop a method to more effectively assess anisotropy and strain and stress distributions, and determine their history in cohesionless soil. To achieve...

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Bibliographic Details
Published in:Soil dynamics and earthquake engineering (1984) 2019-09, Vol.124, p.121-135
Main Authors: Dashti, Hadi, Sadrnejad, Seyed Amirodin, Ganjian, Navid
Format: Article
Language:English
Subjects:
Anisotropy
Cartesian coordinates
Constitutive equations
Constitutive law
Constitutive relationships
Cyclic loads
Cyclic mobility
Granular material
Heterogeneity
Induced anisotropy
Liquefaction
Micro plane
Numerical integration
Orthogonality
Performance prediction
Planes
Sand
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Summary:After the liquefaction of sand, the prediction of anisotropy and heterogeneity is one of the complexities of constitutive law. This study aimed to develop a method to more effectively assess anisotropy and strain and stress distributions, and determine their history in cohesionless soil. To achieve this objective, instead of defining all the direction-dependent events on the three orthogonal planes of the Cartesian coordinate system, numerical integration was utilized to make use of 17 planes with pre-defined directions. This leads to a more accurate and powerful assessment of anisotropy and its effects. The constitutive equations of the proposed model were adjusted with a multilaminate framework, and its result for different monotonic and cyclic loading, drained and undrained conditions, and different pressures and void ratios were verified using the experimental data. Finally, the model's performance in predicting induced anisotropy is demonstrated under cyclic mobility conditions on the 17 planes. •Presents an advanced modified model to predict liquefaction.•This comprehensive model can be used under monotonic and cyclic loading conditions.•Using this model, it is possible to predict full anisotropy in soils by defining 17 planes.
ISSN:0267-7261
1879-341X
DOI:10.1016/j.soildyn.2019.05.031