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Computers & Structures
Article . 2004 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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On modeling mixed hardening in computational plasticity

Authors: Klaus-Jürgen Bathe; Francisco Javier Montáns;

On modeling mixed hardening in computational plasticity

Abstract

Abstract We address herein the calculation of Prager’s hardening parameter in computational plasticity when mixed hardening is considered. We consider two approaches to evaluate the mixed hardening response; namely, based on splitting the plastic strains and based on splitting the plastic modulus. For a one-dimensional stress–strain curve with nonlinear hardening, the proper calculation of Prager’s hardening parameter is demonstrated and some comparisons and insight are provided.

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    14
    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Average
Top 10%
Top 10%
bronze