4.6 Article

A numerical framework of the phenomenological plasticity and fracture model for structural steels under monotonic loading

Journal

STEEL AND COMPOSITE STRUCTURES
Volume 44, Issue 4, Pages 573-588

Publisher

TECHNO-PRESS
DOI: 10.12989/scs.2022.44.4.573

Keywords

ductile fracture; lode angle parameter; strain hardening; stress triaxiality; structure steels

Funding

  1. Chinese National Engineering Research Centre (CNERC) for Steel Construction (Hong Kong Branch) at The Hong Kong Polytechnic University [1-BBV4]

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In this study, it is shown that the classical J2 flow theory is inappropriate for describing the plastic behavior of structural steels under different stress states. A numerical framework is proposed to characterize the strain hardening and ductile fracture initiation considering the effect of stress states. The validity of the proposed model is verified through single element tests and existing test results.
In this study, the classical J2 flow theory is explicitly proved to be inappropriate to describe the plastic behaviour of structural steels under different stress states according to the reported test results. A numerical framework of the characterization of the strain hardening and ductile fracture initiation involving the effect of stress states, i.e., stress triaxiality and Lode angle parameter, is proposed based on the mechanical response of structural steels under monotonic loading. Both effects on strain hardening are determined by correction functions, which are implemented as different modules in the numerical framework. Thus, other users can easily modify them according to their test results. Besides, the ductile fracture initiation is determined by a fracture locus in the space of stress triaxiality, Lode angle parameter, and fracture strain. The numerical implementation of the proposed model and the corresponding code are provided in this paper, which are also available on GitHub. The validity of the numerical procedure is examined through single element tests and the accuracy of the proposed model is verified by existing test results.

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