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Appropriate Setting of Genetic Algorithm for Parameter Identification of Bodner-Partom Material Model

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Abstract:

This article monitors the influence of the number of individuals in generation, number of elite individuals and the time of algorithm run on the quality of results. Reasons for monitoring these influences and the process of calculation are explained in the first part. Basic vocabulary used in this work is described as next. The results of calculations are written down in tables and illustrated on figures. At the end of the article the most suitable parameters for next calculations using Bodner-Partom (B-P) model are summarized.

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Periodical:

Applied Mechanics and Materials (Volume 816)

Pages:

383-388

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.816.383

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Online since:

November 2015

Authors:

Jozef Bocko, Iveta Glodová, Viera Nohajová

Keywords:

Bodner–Partom Model, Evolutionary (Genetic) Algorithm, Generation, Individual, Parameter Identification

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] T. Bäck, Evolutionary Algorithms in Theory and Practice, New York, Oxfortd University Press, (1996).

Google Scholar

[2] S. R. Bodner: Unified Plasticity for Engineering Applications, New York, Kluwer Academic / Plenum Publishers, (2002).

Google Scholar

[3] S. R. Bodner, J. Aboudi, Stress Wave Propagation in Rods of Elastic Visco-Plastic Material, in: Solid Structures, Great Britain, 1983, pp.305-314.

DOI: 10.1016/0020-7683(83)90029-x

Google Scholar

[4] S. R. Bodner, K. S. Chan, Modeling of Continuum Datamage for Application in Elastic Vicso-Plastic Constitutive Equations, in: Engineering Fracture Mechanics, Great Britain, 1986, pp.705-712.

DOI: 10.1016/0013-7944(86)90034-2

Google Scholar

[5] I. Daňo, E. Ostertagová, Numerical methods, Probability and Mathematical Statistics, Theory, Examples and Practical Applications with Mtlab (in Slovak), Equilibria, 2011, ISBN 978-80-89284-74-0.

Google Scholar

[6] Y. He, X. Chen, N. Bai, Simulation of Sn-0, 7 Cu Solder with Bodner-Partom Constitutive Model. IEEE, 2006. 0-7803-9524.

DOI: 10.1109/itherm.2006.1645452

Google Scholar

[7] M. Mach, Evolutionary algorithms, Elements and Principles (in Slovak), Košice, Elfa, 2009, ISBN 978-80-8086-123-0.

Google Scholar

[8] V. Nohajová, Identification of Parameters of Bodner-Partom Viscoelastic Material Model (in Slovak), Dissertacion thesis, Košice, (2011).

Google Scholar

[9] M. Pyrz, K. Woznica, Parametres, Identification of Viscoplastic Models Using Evolutionary Algorithms, XXI ICTAM, Warsaw, (2004).

Google Scholar

[10] A. Skrzat, Modeling of Elasto-Plastic Materials in Finite Element Method, in: Scientific buletin, Serie C, Volume XXIII. Fascicle: Mechanics, Tribology, Machine Manufacturing Technology, pp.163-168, ISSN 1224-32.

Google Scholar