1985
DOI: 10.1061/(asce)0733-9399(1985)111:7(855)
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Formulation of Drucker‐Prager Cap Model

Abstract: The Drucker-Prager cap and similar models for the constitutive behavior of geotechnical materials are widely used in finite element stress analysis. They are multisurface plasticity models, used most frequently with an associated flow rule. The cap may harden or soften, and is coupled to the Drucker-Prager yield surface. As a result of this coupling, plastic deformation in pure shear is possible, after some plastic volume change, for any state of stress on the Drucker-Prager surface. This suggests that for ful… Show more

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Cited by 73 publications
(27 citation statements)
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References 10 publications
(15 reference statements)
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“…The most commonly used are the modified Drucker-Prager model (see e.g. [18]) and the Shima-Oyane model [19] that are available in the ABAQUS and DEFORM software. In the present work, we apply the Beygelzimer model (see [16,20,21]), which combines the features of the Drucker-Prager model and the Shima-Oyane model.…”
Section: Modeling Conditionsmentioning
confidence: 99%
“…The most commonly used are the modified Drucker-Prager model (see e.g. [18]) and the Shima-Oyane model [19] that are available in the ABAQUS and DEFORM software. In the present work, we apply the Beygelzimer model (see [16,20,21]), which combines the features of the Drucker-Prager model and the Shima-Oyane model.…”
Section: Modeling Conditionsmentioning
confidence: 99%
“…and the iterative procedure, starting with the solution of (63) and then skipping to (75), is repeated until convergence.…”
Section: Implementation Issuesmentioning
confidence: 99%
“…For the complex stress-strain state of bodies with structural defects (pores), models taking into account both compaction and decompaction, such as the Cam-Clay Plasticity model [2], the Gurson-Tvergaard-Needleman model [3,4], the Modified Drucker-Prager Cap model [5], used in finite element analysis, are the most appropriate ones. A number of models work well in high-density areas, but underestimate the results in low-density ones, and vice versa [6].…”
Section: Numerical Modelingmentioning
confidence: 99%