4.5 Article

The hysteresis behavior analysis model of BLY160 low-yield-point steel

Journal

JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
Volume 190, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jcsr.2022.107148

Keywords

Cyclic plasticity; Non-Masing behavior; Hysteresis loops; Variable amplitude cycles; Constitutive model

Funding

  1. National Natural Science Foundation of China [11632007, 11472085]
  2. Systematic Project of Guangxi Key Laboratory of Disaster Prevention and Structural Safety [2019ZDX018]

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Cyclic tests were performed on BLY160 low-yield-point steel under different strain ranges. Stable hysteresis loops of constant strain amplitude and multistage strain amplitude were obtained. The material exhibited obvious non-Masing characteristics, with the elastic range of the hysteresis loop varying with strain amplitude and history-dependent loading. A constitutive model was proposed to describe the non-Masing behavior, which reduced the tensor model to a one-dimensional model and introduced historical and current strain amplitudes as internal variables.
Cyclic tests of BLY160 low-yield-point steel were conducted in different strain ranges. Stable hysteresis loops of constant strain amplitude and multistage strain amplitude were obtained from the tests. The results show that the material exhibits obvious non-Masing characteristics; the elastic range of the hysteresis loop varies with strain amplitude, with clearly history-dependent loading. To describe the hysteresis behavior with non-Masing characteristics, a constitutive model was proposed to reduce the tensor model to a one-dimensional model. The model introduces the historical maximum strain amplitude epsilon(max) and the current strain amplitude epsilon(cur )into the strengthening parameters as internal variables of the Chaboche constitutive equation to describe the non-Masing behavior. The steady-state hysteresis loops of strain obtained in simulations using this model were in good agreement with the experimental results, demonstrating the rationality and validity of the model.

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