Pregled bibliografske jedinice broj: 532703
Low cycle fatigue and elasto-plastic material behaviour simulation
Low cycle fatigue and elasto-plastic material behaviour simulation // Proceedings of the 7th International scientific conference Research and development of mechanical elements and systems / Miltenović, Vojislav (ur.).
Niš, 2011. str. 89-94 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 532703 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Low cycle fatigue and elasto-plastic material behaviour simulation
Autori
Franulović, Marina ; Basan, Robert ; Križan, Božidar
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 7th International scientific conference Research and development of mechanical elements and systems
/ Miltenović, Vojislav - Niš, 2011, 89-94
ISBN
978-86-6055-012-7
Skup
Research and development of mechanical elements and systems
Mjesto i datum
Zlatibor, Srbija, 27.04.2011. - 28.04.2011
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
fatigue; material model; genetic algorithm; simulation
Sažetak
Modelling of material behaviour has significant influence on design and optimization of mechanical structures and consequently calculation of their lifetime. There are numerous material models in use today. They vary in their complexity and offer knowledge of various material behaviour characteristics. Material model presented in this paper describes elasto-plastic behaviour of the material. It takes into account damage occurrence and accumulation in the material and its relation to isotropic and kinematic hardening. The material constitutive model is highly non-linear and therefore its parameter identification requires complex numerical procedure, such as genetic algorithm. Because of its complexity, the unique genetic operators’ routines in genetic algorithm calculation procedure are developed to make possible fast and reliable convergence to the results. These routines, chosen to build an optimal genetic algorithm procedure, are proposed in this paper. Genetic algorithm proved to be a good method for material parameters identification. The procedure is validated by comparing simulated material response in different loading conditions with a real one. The experiments for this comparison are performed on testing specimens made out of steel 42CrMo4, loaded to make possible low cycle fatigue and elasto-plastic material behaviour analysis.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
069-0692195-1796 - Materijali, trajnost i nosivost suvremenih zupčastih prijenosnika (Križan, Božidar, MZOS ) ( CroRIS)
Ustanove:
Tehnički fakultet, Rijeka
