Material Parameter Identification of Modified AbdelKarim-Ohno Model
The key role in phenomenological modelling of cyclic
plasticity is good understanding of stress-strain behaviour of given
material. There are many models describing behaviour of materials
using numerous parameters and constants. Combination of individual
parameters in those material models significantly determines whether
observed and predicted results are in compliance. Parameter
identification techniques such as random gradient, genetic algorithm
and sensitivity analysis are used for identification of parameters using
numerical modelling and simulation. In this paper genetic algorithm
and sensitivity analysis are used to study effect of 4 parameters of
modified AbdelKarim-Ohno cyclic plasticity model. Results
predicted by Finite Element (FE) simulation are compared with
experimental data from biaxial ratcheting test with semi-elliptical
loading path.
[1] J.L. Chaboche, K. Dang Van, G. Cordier,Modelization of The Strain Memory Effect on The Cyclic Hardening of 316 Stainless Steel, In: 5th International Conference on Structural Mechanics in Reactor Technology, Division L11/ (Rojíček, 2010), Berlin, 13.-17. August 1979, Ed. Jaeger A and Boley B A. Berlin: BundesanstaltfűrMaterialprűfung, pp.1-10.
[2] N. Ohno and J.D. Wang, Kinematic Hardening Rules with Critical State of Dynamic Recovery, Part I: Formulation and Basic Features for Ratchetting Behavior, International Journal of Plasticity 9, 1993, pp. 375-390.
[3] M. Abdel-Karim and N. Ohno, Kinematic Hardening Model Suitable for Ratchetting with Steady-State, International Journal of Plasticity 16, 2000, pp. 225-240.
[4] R. Halama, M. Šofer, F. Fojtík and A. Markopoulos, Testing and Modeling of Uniaxial and Multiaxial Stress-Strain Behaviour of R7T Wheel Steel. In: Conference Proceeding of EAN2014-52nd International Conference on Experimental Stress Analysis, MarianskeLazne, Czech Republic, 2 June 2014 through 5 June 2014.
[5] R. Halama, F. Fojtík and A. Markopoulos, Memorization and Other Transient Effects of ST52 Steel and Its FE Description, Applied Mechanics and Materials, 2013, Vol.486, p.48-53. ISSN 1662-7482.
[6] D.L. McDowell, Stress state dependence of cyclic ratchettingbehaviour of two rail steels, International Journal of Plasticity 11 (4), 1995, pp. 397–421.
[7] R. Halama, A. Markopoulos, M. Šofer and P. Matušek, Cyclic Plastic Properties of Class C Steel Including Ratcheting: Testing and Modelling. In: Proceedings of the 6th Czech-Japanese workshop New Methods of Damage and Failure Analysis of Structural Parts 8 – 11, September, 2014, Ostrava, Czech Republic.
[8] R. Halama, J. Sedlák and M. Šofer, Phenomenological Modelling of Cyclic Plasticity, Numerical Modelling, Peep Miidla, Ed. ISBN: 978-953-51-0219-9, InTech, 2012, pp. 329-354. Available from: http://www.intechopen.com/books/numerical-modelling/phenomenological-modelling-of-cyclic-plasticity
[9] J. Rojíček, R. Halama, Numerical simulations of pipeline bending tests. Appl Comp Mech 2008, Vol.2, pp.347-356.
[10] J. Rojíček, The Set of Experiments - Analysis by Inverse Identification Method. Journal for Theory and Practice in Metallurgy 49. (2), pp. 488-492, 2010.
[1] J.L. Chaboche, K. Dang Van, G. Cordier,Modelization of The Strain Memory Effect on The Cyclic Hardening of 316 Stainless Steel, In: 5th International Conference on Structural Mechanics in Reactor Technology, Division L11/ (Rojíček, 2010), Berlin, 13.-17. August 1979, Ed. Jaeger A and Boley B A. Berlin: BundesanstaltfűrMaterialprűfung, pp.1-10.
[2] N. Ohno and J.D. Wang, Kinematic Hardening Rules with Critical State of Dynamic Recovery, Part I: Formulation and Basic Features for Ratchetting Behavior, International Journal of Plasticity 9, 1993, pp. 375-390.
[3] M. Abdel-Karim and N. Ohno, Kinematic Hardening Model Suitable for Ratchetting with Steady-State, International Journal of Plasticity 16, 2000, pp. 225-240.
[4] R. Halama, M. Šofer, F. Fojtík and A. Markopoulos, Testing and Modeling of Uniaxial and Multiaxial Stress-Strain Behaviour of R7T Wheel Steel. In: Conference Proceeding of EAN2014-52nd International Conference on Experimental Stress Analysis, MarianskeLazne, Czech Republic, 2 June 2014 through 5 June 2014.
[5] R. Halama, F. Fojtík and A. Markopoulos, Memorization and Other Transient Effects of ST52 Steel and Its FE Description, Applied Mechanics and Materials, 2013, Vol.486, p.48-53. ISSN 1662-7482.
[6] D.L. McDowell, Stress state dependence of cyclic ratchettingbehaviour of two rail steels, International Journal of Plasticity 11 (4), 1995, pp. 397–421.
[7] R. Halama, A. Markopoulos, M. Šofer and P. Matušek, Cyclic Plastic Properties of Class C Steel Including Ratcheting: Testing and Modelling. In: Proceedings of the 6th Czech-Japanese workshop New Methods of Damage and Failure Analysis of Structural Parts 8 – 11, September, 2014, Ostrava, Czech Republic.
[8] R. Halama, J. Sedlák and M. Šofer, Phenomenological Modelling of Cyclic Plasticity, Numerical Modelling, Peep Miidla, Ed. ISBN: 978-953-51-0219-9, InTech, 2012, pp. 329-354. Available from: http://www.intechopen.com/books/numerical-modelling/phenomenological-modelling-of-cyclic-plasticity
[9] J. Rojíček, R. Halama, Numerical simulations of pipeline bending tests. Appl Comp Mech 2008, Vol.2, pp.347-356.
[10] J. Rojíček, The Set of Experiments - Analysis by Inverse Identification Method. Journal for Theory and Practice in Metallurgy 49. (2), pp. 488-492, 2010.
@article{"International Journal of Earth, Energy and Environmental Sciences:69582", author = "M. Cermak and T. Karasek and J. Rojicek", title = "Material Parameter Identification of Modified AbdelKarim-Ohno Model", abstract = "The key role in phenomenological modelling of cyclic
plasticity is good understanding of stress-strain behaviour of given
material. There are many models describing behaviour of materials
using numerous parameters and constants. Combination of individual
parameters in those material models significantly determines whether
observed and predicted results are in compliance. Parameter
identification techniques such as random gradient, genetic algorithm
and sensitivity analysis are used for identification of parameters using
numerical modelling and simulation. In this paper genetic algorithm
and sensitivity analysis are used to study effect of 4 parameters of
modified AbdelKarim-Ohno cyclic plasticity model. Results
predicted by Finite Element (FE) simulation are compared with
experimental data from biaxial ratcheting test with semi-elliptical
loading path.
", keywords = "Genetic algorithm, sensitivity analysis, inverse
approach, finite element method, cyclic plasticity, ratcheting.", volume = "9", number = "4", pages = "298-5", }
