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**Harvard**

Johansson, G. (2006) *On the modeling of large ratcheting strains and anisotropy in pearlitic steel*. Göteborg : Chalmers University of Technology (Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie, nr: 2495).

** BibTeX **

@book{

Johansson2006,

author={Johansson, Göran},

title={On the modeling of large ratcheting strains and anisotropy in pearlitic steel},

isbn={91-7291-814-4},

abstract={Thermodynamically consistent constitutive material models for describing the large strain response of polycrystalline metals are proposed. Emphasis is put on the multiaxial ratcheting under cyclic loading and the evolution of anisotropy in pearlitic steel.
For cyclic loading, the experimentally observed large ratcheting strains is modelled by the classical Armstrong-Frederick type of evolution with several back-stresses. In addition, with the purpose to mimic a multiaxial ratcheting rate, a dependence on the Hessian of the yield function is suggested. Furthermore, the model parameters are identified against different sets of experimental data for pearlitic steel.
Next, two different models for the evolution of deformation
induced anisotropy at large strains are proposed. The first model is inspired by recent material modeling for applications in biomechanics. In the second model, the reorientation of the pearlitic grains under large deformations is homogenized analytically to the macroscopic length scale. The use of a Hill type of yield criterion on the macroscopic length scale is motivated from the homogenization.
In order to increase computational efficiency, an adaptive
time-stepping algorithm is proposed for solving boundary value problems under cyclic loading conditions with a large amount of load cycles. The algorithm is based on large time increments that span several loading cycles and is less computationally demanding as compared to standard time incrementation.
Finally, the performance of the models is illustrated by numerical examples. In particular, the models are used to predict the long term deformations of a railway turnout when it is subjected to repeated loading.},

publisher={Institutionen för tillämpad mekanik, Chalmers tekniska högskola,publisher={Institutionen för tillämpad mekanik, Material- och beräkningsmekanik, Chalmers tekniska högskola,},

place={Göteborg},

year={2006},

series={Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie, no: 2495},

keywords={Large strains, Kinematic hardening, Ratcheting, Anisotropy, Plasticity},

note={170 pages},

}

** RefWorks **

RT Dissertation/Thesis

SR Print

ID 22448

A1 Johansson, Göran

T1 On the modeling of large ratcheting strains and anisotropy in pearlitic steel

YR 2006

SN 91-7291-814-4

AB Thermodynamically consistent constitutive material models for describing the large strain response of polycrystalline metals are proposed. Emphasis is put on the multiaxial ratcheting under cyclic loading and the evolution of anisotropy in pearlitic steel.
For cyclic loading, the experimentally observed large ratcheting strains is modelled by the classical Armstrong-Frederick type of evolution with several back-stresses. In addition, with the purpose to mimic a multiaxial ratcheting rate, a dependence on the Hessian of the yield function is suggested. Furthermore, the model parameters are identified against different sets of experimental data for pearlitic steel.
Next, two different models for the evolution of deformation
induced anisotropy at large strains are proposed. The first model is inspired by recent material modeling for applications in biomechanics. In the second model, the reorientation of the pearlitic grains under large deformations is homogenized analytically to the macroscopic length scale. The use of a Hill type of yield criterion on the macroscopic length scale is motivated from the homogenization.
In order to increase computational efficiency, an adaptive
time-stepping algorithm is proposed for solving boundary value problems under cyclic loading conditions with a large amount of load cycles. The algorithm is based on large time increments that span several loading cycles and is less computationally demanding as compared to standard time incrementation.
Finally, the performance of the models is illustrated by numerical examples. In particular, the models are used to predict the long term deformations of a railway turnout when it is subjected to repeated loading.

PB Institutionen för tillämpad mekanik, Chalmers tekniska högskola,PB Institutionen för tillämpad mekanik, Material- och beräkningsmekanik, Chalmers tekniska högskola,

T3 Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie, no: 2495

LA eng

OL 30