magistrsko delo magistrskega študijskega programa II. stopnje Strojništvo
Veronika Ribaš (Author), Bojan Starman (Mentor), Miroslav Halilovič (Co-mentor)

Abstract

V sodobnem inženirstvu razvoj izdelkov vse pogosteje temelji na virtualnem okolju, kjer simulacije in meritve mehanskega odziva večosnih preizkusov nadomeščajo tradicionalne enoosne preizkuse. Ključnega pomena so metode, ki omogočajo natančno karakterizacijo materialov, kjer pa ima osrednjo vlogo optična metoda korelacije digitalnih slik (DIC). Ta zagotavlja eksperimentalno določena deformacijska polja, potrebna za inverzno identifikacijo materialnih parametrov. Magistrsko delo se osredotoča na numerično analizo algoritmov NICE in IRMA, namenjenih rekonstrukciji napetostnih polj iz eksperimentalnih deformacijskih podatkov.

Keywords

magistrske naloge;inverzna identifikacija;numerična analiza;metoda končnih elementov;konstitutivni model;digitalna korelacija slik;Abaqus;NICE;IRMA;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UL FS - Faculty of Mechanical Engineering
Publisher: [V. Ribaš]
UDC: 620.172.21:519.6:004.421.2(043.2)
COBISS: 241297155 Link will open in a new window
Views: 109
Downloads: 30
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Other data

Secondary language: English
Secondary title: Efficiency analysis of stress reconstruction algorithms
Secondary abstract: In modern engineering, product development increasingly relies on virtual environments, where simulations and measurements of the mechanical response under multiaxial testing conditions are replacing traditional uniaxial tests. Methods that enable accurate material characterization are of key importance, with the digital image correlation (DIC) technique playing a central role. DIC provides experimentally determined strain fields required for the inverse identification of material parameters. This master's thesis will focus on the numerical analysis of the NICE and IRMA algorithms, which are designed for the reconstruction of stress fields from experimental strain data.
Secondary keywords: master thesis;inverse identification;numerical analysis;finite element method;constitutive models;digital image correlation;Abaqus;NICE;IRMA;
Type (COBISS): Master's thesis/paper
Study programme: 0
Thesis comment: Univ. Ljubljana, Fak. za strojništvo
Pages: XX, 69 str.
ID: 26712185