2017
DOI: 10.1590/1679-78253841
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Modification of a Constitutive Model in the Framework of a Multilaminate Method for Post-Liquefaction Sand

Abstract: The estimation of the value and direction of post-liquefaction deformations is one of the most challenging issues in the modelling of liquefaction soil, due to the inherent and induced anisotropy. It is very important in the science of soil-constitutive models to present a simple and comprehensive model for the prediction of fabric anisotropy effects in pre-and post-liquefaction behaviour in granular soil. In the framework of the multilaminate method, 17 planes with predetermined directions are defined, instea… Show more

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Cited by 2 publications
(1 citation statement)
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“…On each plane the important effects of the applied anisotropy analyzed to evaluate the progressive failure. Evaluating Crack propagation in Earth Dams upon a mixture of Multi-Line technic and Multi-Laminate theory clarified the order of planes activation and progressive failure due to cyclic triaxial test with the same dimensions and boundary conditions and confining pressure for dynamic loading state investigated and compared to laboratory tests (Rahimi Dadgar et al, 2019aDadgar et al, , 2019b) and finally the model constants modified based on constitutive relations obtained from elasto-plastic theory (Dashti et al, 2017(Dashti et al, , 2019.…”
Section: Introductionmentioning
confidence: 99%
“…On each plane the important effects of the applied anisotropy analyzed to evaluate the progressive failure. Evaluating Crack propagation in Earth Dams upon a mixture of Multi-Line technic and Multi-Laminate theory clarified the order of planes activation and progressive failure due to cyclic triaxial test with the same dimensions and boundary conditions and confining pressure for dynamic loading state investigated and compared to laboratory tests (Rahimi Dadgar et al, 2019aDadgar et al, , 2019b) and finally the model constants modified based on constitutive relations obtained from elasto-plastic theory (Dashti et al, 2017(Dashti et al, , 2019.…”
Section: Introductionmentioning
confidence: 99%