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A Novel multi-objective genetic algorithms-based calculation of hill's coefficients
, Nirupam Chakraborti, Barlat F., Lee M.-G.
Published in Springer
2014
Volume: 45
   
Issue: 6
Pages: 2704 - 2707
Abstract
The anisotropic coefficients of Hill's yield criterion are determined through a novel genetic algorithms-based multi-objective optimization approach. The classical method of determining anisotropic coefficients is sensitive to the effective plastic strain. In the present procedure, that limitation is overcome using a genetically evolved meta-model of the entire stress strain curve, obtained from uniaxial tension tests conducted in the rolling direction and transverse directions, and biaxial tension. Then, an effective strain that causes the least error in terms of two theoretically derived objective functions is chosen. The anisotropic constants evolved through genetic algorithms correlate very well with the classical results. This approach is expected to be successful for more complex constitutive equations as well. © 2014 The Minerals, Metals , Materials Society and ASM International.
About the journal
JournalData powered by TypesetMetallurgical and Materials Transactions A: Physical Metallurgy and Materials Science
PublisherData powered by TypesetSpringer
Open AccessNo