Pregled bibliografske jedinice broj: 1154547
Parameter identification in dynamic crack propagation
Parameter identification in dynamic crack propagation // ECCOMAS MSF 2021 - 5th International Conference on Multi-scale Computational Methods for Solids and Fluids / Ibrahimbegović, Adnan ; Nikolić, Mijo - Split : Faculty of Civil Engineering, University of Sarajevo / Ibrahimbegovic, Adnan ; Nikolić, Mijo (ur.).
Split, Hrvatska, 2021. str. 93-95 (predavanje, međunarodna recenzija, prošireni sažetak, znanstveni)
CROSBI ID: 1154547 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Parameter identification in dynamic crack
propagation
Autori
Stanić, Andjelka ; Nikolić, Mijo ; Friedman, Noemi ; Matthies, Hermann
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni
Izvornik
ECCOMAS MSF 2021 - 5th International Conference on Multi-scale Computational Methods for Solids and Fluids / Ibrahimbegović, Adnan ; Nikolić, Mijo - Split : Faculty of Civil Engineering, University of Sarajevo
/ Ibrahimbegovic, Adnan ; Nikolić, Mijo - , 2021, 93-95
ISBN
978-9958-638-66-4
Skup
5th International Conference on Multi-Scale Computational Methods for Solids and Fluids (ECCOMAS MSF 2021)
Mjesto i datum
Split, Hrvatska, 30.06.2021. - 02.07.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
parameter identification ; dynamic crack propagation
Sažetak
The subject of our research work is the identification of unknown parameters in a numerical model, that enables simulation of crack propagation in a structural element subjected to dynamic loads. In order to describe a crack formation and opening in quasi brittle 2d solid we use the embedded strong discontinuity method. It provides mesh-independent solution since the fracture dissipation energy is associated with the discontinuity and does not depend on the finite element size. Usually, we do not possess all the necessary data available to carry out the numerical simulation of an experiment. Therefore, the stochastic Bayesian inverse method is applied to identify the input parameters, that can not be measured directly – such as the fracture energy which dissipates when cracks propagate through the model domain.
Izvorni jezik
Engleski
Znanstvena područja
Građevinarstvo
POVEZANOST RADA
Projekti:
HRZZ-UIP-2020-02-6693 - Metodologija za procjenu parametara u problemima propagacije pukotina nastalih pod utjecajem ekstremnih mehaničkih opterećenja (FracID) (Nikolić, Mijo, HRZZ - 2020-02) ( CroRIS)
Ustanove:
Fakultet građevinarstva, arhitekture i geodezije, Split
Profili:
Mijo Nikolić
(autor)