Naslov
Data driven multiscale modeling using lattice model on the lower scale

Autori
Marenić, Eduard ; Nikolić, Mijo

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, 127-128

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
data driven approach, lattice model

Sažetak
Data driven computational mechanics (DDCM) is a generalization of traditional, modeling approach, where material behavior is described with a model, ˆs(e). The traditional approach in the computational mechanics considers the formulation of material models whose development relays on the data. Those data are usually collected either through experimental measurements (extensometry, force cells, fullfield kinematic/thermal measurements, etc.) or simulation (different methods, discretization techniques and scales can be considered). While in the 1960s the available data were sparse, at least across certain regimes, nowadays we live in the era of data generation and collection. Thus, before one needed a great deal of intuition and experience to develop a quality model from sometimes scarce input, with the goal to generalize experimental measurements made on simple test.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo, Strojarstvo

POVEZANOST RADA