Calibration of constitutive models using genetic algorithms

Author:

Robson Joseph D.ORCID,Armstrong Daniel,Cordell Joseph,Pope Daniel,Flint Thomas F.ORCID

Funder

Defence Science and Technology Laboratory

Engineering and Physical Sciences Research Council

Royal Academy of Engineering

Publisher

Elsevier BV

Subject

Mechanics of Materials,General Materials Science,Instrumentation

Reference15 articles.

1. A constitutive description of the deformation of copper based on the use of the mechanical threshold stress as an internal state variable;Follansbee;Acta Metall.,1988

2. Genetic Algorithms in Search, Optimization, and Machine Learning;Goldberg,1989

3. The legitimacy of decoupled dynamic flow stress equations and their representation based on discrete experimental data;Huang;Int. J. Impact Eng.,2023

4. Johnson, G.R., Cook, W.H., 1983. A constitutive model and data for materials subjected to large strains, high strain rates, and high temperatures. In: Proc. 7th Inf. Sympo. Ballistics. pp. 541–547.

5. Modelling of thermo-viscoplastic behaviour of DH-36 and weldox 460-E structural steels at wide ranges of strain rates and temperatures, comparison of constitutive relations for impact problems;Klepaczko;Mech. Mater.,2009

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