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Pregled bibliografske jedinice broj: 581885

Genetic algorithm implementation in material behavior simulation system


Franulović, Marina; Basan, Robert; Prebil, Ivan; Lengauer, Markus
Genetic algorithm implementation in material behavior simulation system // 3rd Fatigue Symposium Leoben, Lightweight Design / Eichlseder, W ; Grun, F. (ur.).
Leoben, 2012. str. 340-351 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Genetic algorithm implementation in material behavior simulation system

Autori
Franulović, Marina ; Basan, Robert ; Prebil, Ivan ; Lengauer, Markus

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
3rd Fatigue Symposium Leoben, Lightweight Design / Eichlseder, W ; Grun, F. - Leoben, 2012, 340-351

ISBN
978-3-902544-03-02

Skup
3rd Fatigue Symposium Leoben, Lightweight Design

Mjesto i datum
Leoben, Austrija, 18-19.04.2012.

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Genetic algorithm; Material behavior; Simulation

Sažetak
Constitutive modeling of material behavior is becoming increasingly important in prediction of possible failures of highly loaded engineering components, and consequently, optimization of their design. Material behavior is characterized by material parameters, which need to be identified for material model definition. Material models differ in range of material properties they can describe and proportionally in their complexity to define. Complex material models, such as Chaboche's, are characterized by large number of material parameters that have to be carefully identified to follow material behavior as accurately as possible. Therefore modern numerical methods for parameter identification, such as genetic algorithm, proved to be necessity in modeling material behavior today. Because of the complexity of the presented problem, unique genetic operators’ routines in genetic algorithm calculation procedure are developed to enable fast and reliable convergence of the results. These routines, chosen to build an optimal genetic algorithm procedure are proposed in this paper. Within it the material response of the steel 42CrMo4 is simulated by using an automated system for parameter identification to verify the proposed procedure.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Projekt / tema
069-0692195-1796 - Materijali, trajnost i nosivost suvremenih zupčastih prijenosnika (Božidar Križan, )

Ustanove
Tehnički fakultet, Rijeka