New formulation of nonlinear kinematic hardening model, Part II: Cyclic hardening/softening and ratcheting

Okorokov, Volodymyr; Gorash, Yevgen; Mackenzie, Donald; Rijswick, Ralph van

doi:10.1016/j.ijplas.2019.07.005

Cited by 21 publications

(4 citation statements)

References 42 publications

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“…The hardening stagnation is of practical and theoretical importance since it is related to the cyclic softening at a small plastic strain range, compare ref. [51].…”

Section: Geometrically Nonlinear Materials Modelsmentioning

confidence: 99%

Uniaxial ratcheting and ductile damage in structural steel with a stochastic spreading of experimental data

Shutov,

Kaygorodtseva,

Zakharchenko

et al. 2024

Z Angew Math Mech

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This paper provides new experimental data regarding inelastic strain accumulation in structural steel samples. The samples are subjected to stress‐controlled cyclic loading with positive mean stress within each cycle; the loading blocks are combined in a complex pattern to study the effect of load history. A large‐strain ratcheting model is constructed based on a material law with a nonlinear kinematic and isotropic hardening. A new rule of ductile damage accumulation is suggested and a class of models with hardening stagnation is introduced. We show that models which include the hardening stagnation describe the experimental data more accurately. Unfortunately, due to a large spread of mechanical properties from sample to sample, it is impossible to describe the entire set of experiments using a single set of parameters. To address this challenge, we have developed novel mathematical tools for parameter identification in the context of stochastic variations in mechanical properties. These tools include the concept of a collar of model responses and the notion of protrusion. We propose an extended parameter identification problem that rethinks the standard error functional. We demonstrate that the extended identification problem effectively accounts for the large spread observed in experimental data when applied to the developed ratcheting model.

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“…The hardening stagnation is of practical and theoretical importance since it is related to the cyclic softening at a small plastic strain range, compare ref. [51].…”

Section: Geometrically Nonlinear Materials Modelsmentioning

confidence: 99%

Uniaxial ratcheting and ductile damage in structural steel with a stochastic spreading of experimental data

Shutov,

Kaygorodtseva,

Zakharchenko

et al. 2024

Z Angew Math Mech

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“…Multiaxial ratchetting of duplex stainless steel (S32750) is modeled in [42] and of CS 1018 and CS 1026 steels in [43]. Okorokov et al [44] capture the multiaxial ratchetting behavior of S355J2 steel with the introduction of two additional backstress super surfaces and a Dirac delta approach describing the stress deviation in uniaxial tension-compression and non-proportional axial-torsion tests.…”

Section: Strain-controlled Ratchetting and Ratchetting Modelsmentioning

confidence: 99%

Experiments and Modeling on the Stain-Controlled Time- and Temperature-Dependent Cyclic Ratchetting Plasticity of the Nickel-Based Superalloy IN100

et al. 2023

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In this paper, the time- and temperature-dependent cyclic ratchetting plasticity of the nickel-based alloy IN100 is experimentally investigated in strain-controlled experiments in the temperature range from 300 °C to 1050 °C. To this end, uniaxial material tests are performed with complex loading histories designed to activate phenomena as strain rate dependency, stress relaxation as well as the Bauschinger effect, cyclic hardening and softening, ratchetting and recovery from hardening. Plasticity models with different levels of complexity are presented that consider these phenomena, and a strategy is derived to determine the multitude of temperature-dependent material properties of the models in a step-by-step procedure based on sub-sets of experimental data of isothermal experiments. The models and the material properties are validated based on the results of non-isothermal experiments. A good description of the time- and temperature-dependent cyclic ratchetting plasticity of IN100 is obtained for isothermal as well as non-isothermal loading with models including ratchetting terms in the kinematic hardening law and the material properties obtained with the proposed strategy.

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“…In order to minimize the differences between experimental and numerical results, as well as, to improve the results of the identification process, the optimization problem is considered. The different optimization procedures in the identification of the Chaboche hardening parameters are presented in [27][28][29][30][31][32][33][34][35]. The hardening parameters procedures using advanced approaches based on genetic algorithms are also tested [36][37][38].…”

Section: Introductionmentioning

confidence: 99%

Computational Methods of the Identification of Chaboche Isotropic-Kinematic Hardening Model Parameters Derived from the Cyclic Loading Tests

Wójcik,

Gontarz,

Skrzat

et al. 2024

Adv. Sci. Technol. Res. J.

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The Chaboche-Lemaitre combined isotropic-kinematic hardening model (CKIH) gives an overall information about the material behaviour under cyclic loading. The identification of hardening parameters is a difficult and time-consuming problem. The procedure of the parameters identification using the experimental hysteresis curve obtained in a cyclic loading test under strain control is presented in details here for a S235JR construction steel. The last stabilized cycle extracted from the hysteresis curve is required for the identification of hardening parameters. The model with three backstresses is tested here. The optimization algorithm is also used for the improvement of the agreement between experimental and numerical data. In order to include some uncertainty of experiment and the identification procedure, the authorial algorithm written on the basis of the fuzzy logic soft-computing method is applied here. The results obtained show that the identification procedure presented in this paper ensures the good agreement between the experimental tests and numerical calculations. The correct selection of parameters associated with the hardening is essential for the right description of material behaviour subject to loading in different engineering problems, including in metal forming processes.

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New formulation of nonlinear kinematic hardening model, Part II: Cyclic hardening/softening and ratcheting

Cited by 21 publications

References 42 publications

Uniaxial ratcheting and ductile damage in structural steel with a stochastic spreading of experimental data

Uniaxial ratcheting and ductile damage in structural steel with a stochastic spreading of experimental data

Experiments and Modeling on the Stain-Controlled Time- and Temperature-Dependent Cyclic Ratchetting Plasticity of the Nickel-Based Superalloy IN100

Computational Methods of the Identification of Chaboche Isotropic-Kinematic Hardening Model Parameters Derived from the Cyclic Loading Tests

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