Generalized plasticity state parameter-based model for saturated and unsaturated soils. Part 1: Saturated state

Manzanal Milano, Diego Guillermo ORCID: https://orcid.org/0000-0002-6087-3255, Fernández Merodo, José Antonio ORCID: https://orcid.org/0000-0003-0989-0292 and Pastor Pérez, Manuel Tomás ORCID: https://orcid.org/0000-0001-8080-0013 (2011). Generalized plasticity state parameter-based model for saturated and unsaturated soils. Part 1: Saturated state. "International Journal for Numerical and Analytical Methods in Geomechanics", v. 35 (n. 12); pp. 1347-1362. ISSN 0363-9061. https://doi.org/10.1002/nag.961.

Descripción

Título: Generalized plasticity state parameter-based model for saturated and unsaturated soils. Part 1: Saturated state
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: International Journal for Numerical and Analytical Methods in Geomechanics
Fecha: 25 Agosto 2011
ISSN: 0363-9061
Volumen: 35
Número: 12
Materias:
Palabras Clave Informales: constitutive modeling; state parameter; generalized plasticity; granular soils
Escuela: E.T.S.I. Caminos, Canales y Puertos (UPM)
Departamento: Mecánica de Medios Continuos y Teoría de Estructuras
Licencias Creative Commons: Ninguna

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Resumen

The behavior of granular materials is known to depend on its loose or dense nature, which in turns depends both on density and confining pressure. Many models developed in the past require the use of different sets of constitutive parameters for the same material under different confining pressures. The purpose of this paper is to extend a basic generalized plasticity model for sands proposed by Pastor, Zienkiewicz and Chan by modifying the main ingredients of the model flow-rule, loading-unloading discriminating direction and plastic modulus-to include a dependency on the state parameter. The proposed model is tested against the available experimental data on three different sands, using for each of them a single set of material parameters, finding a reasonably good agreement between experiments and predictions. Copyright (C) 2010 John Wiley & Sons, Ltd.

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ID de Registro: 85853
Identificador DC: https://oa.upm.es/85853/
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URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/5486232
Identificador DOI: 10.1002/nag.961
URL Oficial: https://onlinelibrary.wiley.com/doi/full/10.1002/n...
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