Anisotropy state variable based on phase transformation for generalized plasticity constitutive model

García-García, Marcos; Manzanal, Diego; Pastor, Manuel

doi:10.1007/s11440-023-02194-8

Cited by 2 publications

(1 citation statement)

References 51 publications

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“…However, some limitations of this model restrict its wide application for the analysis of complex soil behavior in various conditions. Therefore, various researchers have proposed different modified models on the basis of the generalized plasticity theory for the improvement of the capability of the main model (see [1,6,[15][16][17][18][19][20][21][22]). As a modification, the concept of the state parameter has been used as a tool to associate the sand behavior to density (or the void ratio) and the mean confining stress, and, as a result, to enter the concept of critical state soil mechanics into the constitutive models.…”

Section: Introductionmentioning

confidence: 99%

Modification of the Reloading Plastic Modulus in Generalized Plasticity Models for Soil by Introducing a New Equation for the Memory Parameter in Cyclic Loadings

Oliaei,

Kamgar,

Heidarzadeh

et al. 2024

Applied Sciences

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Nowadays, with the widespread supply of very powerful laboratory and computer equipment, it is expected that the analyses conducted for geotechnical problems are carried out with very high precision. Precise analyses lead to better knowledge of structures’ behavior, which, in turn, reduces the costs related to uncertainty of materials’ behavior. A precise analysis necessitates a precise knowledge and definition of the behavior of the constituent materials, which itself requires applying an appropriate constitutive model to show the behavior of materials. Constitutive models used in the generalized plasticity framework are very powerful constitutive models for the simulation of sand behavior. However, the simulation of a cyclic behavior in these models, especially the simulation of the undrained cyclic behavior, is not well-recognized. In this study, in order to eliminate the weakness of generalized constitutive models under cyclic loading, a new equation is presented to substitute the so-called coefficient of the discrete memory factor to consider the loading history in such a way that the plastic modulus is modified during reloading and, as a result, more appropriate predictions of sand behavior are obtained. The performance accuracy of the proposed coefficient was evaluated in accordance with the experimental data. Finally, the results show that after using the modification of the loading history coefficient, predictions of the constitutive model are significantly improved.

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