Dimension extending technique for constitutive integration of plasticity with hardening–softening behaviors

Existence and uniqueness of solution of constitutive integration of non-associative plasticity has been an open issue until it was partly solved in Zheng et al. (2020), where the constitutive integration of elastic-perfect plasticity is reduced to a Mixed Complementarity Problem (MiCP), a special ca...

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Vydáno v:Computer methods in applied mechanics and engineering Ročník 394; s. 114833
Hlavní autoři: Zheng, Hong, Chen, Qian
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier B.V 01.05.2022
Elsevier BV
Témata:
Algorithms
Constitutive integration of hardening/softening plasticity
Convergence
Differential-Complementarity Equations
Dimension Extending Technique
Hardening
Mixed Complementarity problems
Modified Cam-Clay plasticity
Plastic properties
Softening
Constitutive integration of hardening/softening plasticity
Modified Cam-Clay plasticity
Mixed Complementarity problems
Differential-Complementarity Equations
Dimension Extending Technique
ISSN:0045-7825
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Shrnutí:Existence and uniqueness of solution of constitutive integration of non-associative plasticity has been an open issue until it was partly solved in Zheng et al. (2020), where the constitutive integration of elastic-perfect plasticity is reduced to a Mixed Complementarity Problem (MiCP), a special case of finite-dimensional variational inequalities, and the qualitative properties of the MiCP have been well established even for non-smooth yield surfaces and non-associated flow rules. The algorithm for the MiCP, called GSPC, has been proved globally convergent. In order to handle plasticity with hardening and softening behaviors, hardening functions are deemed the same position as stress components. In this way, hardening/softening plasticity reduces to elastic-perfect plasticity, and the GSPC is ideally suited to hardening/softening plasticity with no need to revise. The application of the proposed procedure to the Modified Cam-Clay plasticity is demonstrated. Comparisons are made with the return mapping (R-M) algorithm, indicating that those examples causing R-M to fail to converge can be easily solved using GSPC. •Dimension extending technique reduces hardening/softening plasticity to perfect.•Algorithm GSPC is convergent even for non-associated flow rules and softening.•Some examples causing conventional algorithms to fail can be solved by GSPC.
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ISSN:0045-7825
DOI:10.1016/j.cma.2022.114833