Material parameters identification: Gradient-based, genetic and hybrid optimization algorithms

This paper presents two procedures for the identification of material parameters, a genetic algorithm and a gradient-based algorithm. These algorithms enable both the yield criterion and the work hardening parameters to be identified. A hybrid algorithm is also used, which is a combination of the fo...

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Veröffentlicht in:Computational materials science Jg. 44; H. 2; S. 339 - 346
Hauptverfasser: Chaparro, B.M., Thuillier, S., Menezes, L.F., Manach, P.Y., Fernandes, J.V.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Amsterdam Elsevier B.V 01.12.2008
Elsevier
Schlagworte:
Anisotropy
Condensed matter: structure, mechanical and thermal properties
Deformation and plasticity (including yield, ductility, and superplasticity)
Engineering Sciences
Exact sciences and technology
Mechanical and acoustical properties of condensed matter
Mechanical properties of solids
Optimization
Parameter identification
Physics
Plasticity
Stamping
Work hardening
Yield criteria
Work hardening
62.20.-x
81.20.Hy
Parameter identification
Optimization
62.20.Fe
Yield criteria
Stamping
07.10.-h
81.05.-t
Anisotropy
Plasticity
81.40.Lm
81.70.Bt
Constitutive equation
Yield criterion
Optimization method
Genetic algorithms
Aluminium alloys
Hybrid model
Strain hardening
ISSN:0927-0256, 1879-0801
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Beschreibung
Zusammenfassung:This paper presents two procedures for the identification of material parameters, a genetic algorithm and a gradient-based algorithm. These algorithms enable both the yield criterion and the work hardening parameters to be identified. A hybrid algorithm is also used, which is a combination of the former two, in such a way that the result of the genetic algorithm is considered as the initial values for the gradient-based algorithm. The objective of this approach is to improve the performance of the gradient-based algorithm, which is strongly dependent on the initial set of results. The constitutive model used to compare the three different optimization schemes uses the Barlat’91 yield criterion, an isotropic Voce type law and a kinematic Lemaitre and Chaboche law, which is suitable for the case of aluminium alloys. In order to analyse the effectiveness of this optimization procedure, numerical and experimental results for an EN AW-5754 aluminium alloy are compared.
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ISSN:0927-0256
1879-0801
DOI:10.1016/j.commatsci.2008.03.028