SUMMARYIn this article a semi-implicit algorithm (predictor-corrector approach) for incorporating the interaction between plasticity and transformation-induced plasticity (TRIP) in steel is developed. Contrary to the usual elasto-plasticity, the underlying model of material behavior of steel is far more complex.
SUMMARYIn this article a semi-implicit algorithm (predictor-corrector approach) for incorporating the interaction between plasticity and transformation-induced plasticity (TRIP) in steel is developed. Contrary to the usual elasto-plasticity, the underlying model of material behavior of steel is far more complex.
“…There is a "competition" between Chaboche like models and 2M models (cf. [3,9] for further references). Clearly, experiments must decide, which approach is better in which situation.…”
Section: IImentioning
confidence: 99%
“…[1][2][3][4][5][6], e.g.). Their characteristic trait is the additive decomposition of the inelastic (i.e., plastic or visco-plastic, e.g.)…”
Two-mechanism (or, generally, multi-mechanism) models have been studied for the last twenty years. Besides one-mechanism (or "Chaboche") models, they are a useful tool for modelling inelastic behavior.
“…Extensive research on the behaviour of various engineering materials under low cycle fatigue conditions has been carried out for the last 50 years in order to develop the adequate constitutive modeling as well as the appropriate predictions of the fatigue lifetime (Taleb et al, 2006;Zhang et al, 2008;Ganczarski and Skrzypek, 2009;Taleb and Cailletaud, 2010;Skrzypek and Ganczarski, 2015).…”
Thermomechanical low cycle fatigue behaviour of P91 steel used in power industry applications has been extensively investigated. The constitutive model of Armstrong-Frederick, extended with temperature rate effects, has been applied to describe the behaviour of the thermo-elastic-plastic material. The proposed model has been successfully implemented in simulation of low cycle fatigue of the examined steel in two different temperatures.
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