1995
DOI: 10.1016/s0749-6419(95)00037-2
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Yield surfaces and principle of superposition: Revisit through incrementally non-linear constitutive relations

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Cited by 90 publications
(61 citation statements)
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“…In the first section, the limit of the bifurcation domain plotted in the 3D stress space is depicted for the incrementally nonlinear and incrementally piecewise linear constitutive relations from Darve et al [25]. An analytical equation of instability cones is given and it is presented in the 3D principal stress space for both constitutive models.…”
mentioning
confidence: 99%
“…In the first section, the limit of the bifurcation domain plotted in the 3D stress space is depicted for the incrementally nonlinear and incrementally piecewise linear constitutive relations from Darve et al [25]. An analytical equation of instability cones is given and it is presented in the 3D principal stress space for both constitutive models.…”
mentioning
confidence: 99%
“…That is why the above discussion has to be made in a given tensorial zone. 2 Moreover, it is necessary to verify that solutions belong geometrically to the tensorial zone considered and to cut them (i.e. to keep only the part of the cone include in the tensorial zone for example).…”
Section: Basic Conceptsmentioning
confidence: 99%
“…Numerical results, are displayed with the constitutive models of Darve [2] and with the discrete element method.…”
Section: Illustrationmentioning
confidence: 99%
“…Despite a discrete nature of granular materials, their mechanical behaviour can be reasonably described by principles of continuum mechanics using an elastoplastic [30][31][32] and hypoplastic [33][34][35][36] approach. Non-polar hypoplastic constitutive laws formulated at the Karlsruhe University [35][36][37][38][39] describe the evolution of effective stress tensor depending on the current void ratio, stress state and rate of deformation by isotropic linear and non-linear tensorial functions according to the representation theorem by Wang [40].…”
Section: Micro-polar Hypoplastic Modelmentioning
confidence: 99%