Use of genetic algorithm for identification of nonlinear constitutive materiál models

0358307 - ÚFM 2011 RIV CZ eng J - Journal Article
Brumek, J. - Strnadel, B. - Dlouhý, Ivo
Use of genetic algorithm for identification of nonlinear constitutive materiál models.
Chemické listy. roč. 104, suppl. s. (2010), s. 299-302. ISSN 0009-2770. E-ISSN 1213-7103.
[Lokální mechanické vlastnosti 2009. Telč, 11.11.2009-13.11.2009]
Institutional research plan: CEZ:AV0Z20410507
Keywords : instrumented indentation test * material model * genetic algorithm
Subject RIV: JL - Materials Fatigue, Friction Mechanics
Impact factor: 0.620, year: 2010

Indentation technique was focused on the prediction of the strain hardening behaviour of carbide steels. An improved technique to determine the plastic properties of material from the load-displacement curve from a all indentation test was proposed. The time needed for Cindiny an optimal solution for a non-linear constitutive model depends on a number of design variables. Common methods like gradient methods or linear programming can fail due the fact that they drop to the local minimum. The advantage of a genetic algorithm is that it does not require the knowledge of target function. Proposed method was applied to the data from the instrumented indentation technique. The results were found to be in good agreement with the data from conventional standard tests, and in less time.
Permanent Link: http://hdl.handle.net/11104/0196394